Executive Summary
OEMs already generate extensive battery data across manufacturing, quality, testing and logistics. The opportunity is to keep the physical battery connected to the right information as it moves from the plant through logistics networks and into the receiving depot.
This transition involves multiple organisations and specialised systems, each serving a valid operational purpose. Even a small number of identity or documentation mismatches, however, can create additional verification, temporary quarantine and repeated inspections. In an illustrative monthly flow of 10,000 battery packs, a 1% mismatch rate would produce 100 investigations and approximately 50 hours of additional work.
The Digital Battery Passport (DBP) can help by providing a persistent battery identity and controlled connection to selected information held across existing OEM systems. It does not require OEMs to replace those systems or disclose complete Bills of Materials and other commercially sensitive information. Applied carefully, it can strengthen receiving, inventory control, warranty investigations and exception management while protecting intellectual property and trade secrets.
A complex handover
A battery may leave the manufacturing plant with detailed records covering its identity, configuration, quality checks and test status. Before reaching the depot, it can pass through staging areas, logistics providers, consolidation points and receiving inspections.
Each participant may use a different system for a legitimate operational purpose. The opportunity is to ensure that the battery’s identity remains connected to the information required at the next handover.
If a battery arrives with an identity or documentation mismatch, an OEM may need to:
- Hold it temporarily for verification;
- Retrieve information from several systems;
- Repeat part of an inspection; or
- Confirm whether an exception occurred during production or transport.
These controls protect safety and quality, but better-connected information could make them faster and more targeted.
For example, in an illustrative monthly flow of 10,000 battery packs:
- A 1% information-mismatch rate would create 100 investigations;
- At 30 minutes per investigation, this would require 50 working hours; and
- Reducing mismatches to 0.25% would avoid 75 investigations each month.
The precise financial benefit will vary, but the operational opportunity is clear: fewer unresolved handovers mean less manual work and more available inventory.
Where the Digital Battery Passport (DBP) can help
From 18 February 2027, EV batteries, light means of transport batteries and industrial batteries above 2 kWh must have an electronic battery passport linked to a unique identifier. Access to its information will depend on the user and applicable access rights. (EU Battery Regulation 2023/1542)
The DBP is not intended to replace OEM manufacturing, warehouse, quality or transport systems. Its value lies in helping connect them around a consistent battery identity.
At the plant-to-depot handover, this could help authorised teams confirm selected information such as:
- Battery identity and configuration;
- Relevant test or inspection status;
- Shipment and receiving status; and
- Recorded damage or handling exceptions.
Detailed operational records can remain in their source systems. The DBP provides a connection through which the appropriate information can be located and verified.
Traceability with commercial protection
Better traceability does not require OEMs to disclose everything. Complete Bills of Materials (BOMs), supplier relationships, sourcing strategies and manufacturing configurations may contain intellectual property, confidential know-how and trade secrets. Access should therefore be based on what is legally required and operationally necessary.
The objective is controlled visibility: the right information, for the right actor, at the right stage.
From compliance to operational value
A well-designed connection between OEM systems and the DBP could support:
- Quicker receipt and release of battery inventory;
- More precise quarantine and recall decisions;
- Stronger evidence for warranty investigations;
- Clearer accountability across handovers; and
- Safer management of damaged or exceptional batteries.
Through the BASE project, partners are exploring how Digital Battery Passport data can support decisions across the battery lifecycle. Seraph helps translate this work into practical operational questions: which information is needed, where handover risks occur, who needs access and where stronger traceability can create measurable value.
For OEMs, the opportunity is not to rebuild systems that already work but rather it is about connecting existing information more effectively, and use the Digital Battery Passport to strengthen control across the battery journey.
Ready to harness the DBP for operational advantage?
Do you need support, guidance and insights on automotive manufacturing excellence? Let’s talk https://seraph.com/contact-us/
About Seraph
Seraph is a global operations and strategy consulting firm, that leads value chain improvements, restructurings, and turnarounds. We unite the disparate roles in operationally intensive businesses to create efficient operations, bridging the divide from concept to production. High-level decision-makers in manufacturing and industrial organizations rely on us to solve complex issues and launch initiatives that ensure success and sustainable change.
Seraph is a member of the BASE Battery Passport for Transparency and Circularity consortium.
The BASE project has received funding from the Horizon Europe Framework Programme (HORIZON) Research and Innovation Actions under grant agreement No 101157200
Visit the BASE website here: https://base-digibattpass.eu/
Executive Summary
The Digital Battery Passport will give OEMs access to richer battery-condition and lifecycle information. Remaining Useful Life prediction can turn this information into forward-looking decisions across warranty, spare-pack planning and maintenance. The opportunity extends beyond the prediction itself: OEMs will need to integrate RUL outputs into processes, responsibilities, decision thresholds and performance measures.
Operational Excellence and Continuous Improvement teams are well positioned to connect engineering and battery intelligence with after-sales, warranty, service and supply-chain operations, turning predictive data into measurable operational value.
The Digital Battery Passport will give OEMs a richer record of battery condition, history and lifecycle performance. Remaining Useful Life prediction can turn that record into forward-looking decisions across warranty, spare-pack planning and maintenance.
From 18 February 2027, the EU Battery Regulation requires electric-vehicle batteries, light means of transport batteries and industrial batteries above 2 kWh to have a battery passport. The Regulation also connects battery management systems with up-to-date information on state of health and expected lifetime.
For OEMs, this creates an important transition. Battery information will increasingly support decisions throughout the product lifecycle rather than remaining primarily within engineering and compliance functions.
From current condition to predicted lifetime
State of Health provides an assessment of a battery’s current condition. Remaining Useful Life, or RUL, looks forward: it estimates how long the battery can continue to perform before reaching a defined operational threshold.
RUL is best understood as a forecast based on available data, operating conditions and assumptions. Temperature, charging behaviour, depth of discharge, battery chemistry and previous use can all affect degradation. Reliable predictions therefore require validated models, consistent data and a clear understanding of uncertainty.
When these conditions are in place, RUL can provide OEMs with a new layer of battery intelligence.
More proactive warranty decisions
Warranty management is traditionally shaped by defined coverage periods, reported faults, diagnostic testing and historical failure patterns. RUL introduces the possibility of identifying degradation trajectories before a battery reaches failure or a warranty claim occurs.
OEMs could use this intelligence to:
- Identify battery populations showing unusual degradation;
- Distinguish isolated failures from broader product patterns;
- Support earlier and more targeted interventions;
- Improve the evidence available for warranty assessment; and
- Strengthen forecasting of future warranty exposure
The Digital Battery Passport can provide access to trusted lifecycle information, while RUL models interpret that history in relation to future performance. Together, they could help warranty teams move towards more evidence-based and proactive decision-making.
Smarter spare-pack planning
Battery packs are costly service components. Holding too many creates capital and storage costs; holding too few increases repair times and customer disruption.
RUL intelligence could improve spare-pack planning by providing a clearer view of when replacement demand is likely to emerge across different vehicle models, battery populations, markets or operating conditions.
Rather than relying primarily on historical replacement rates, OEMs could combine installed-base information with battery-condition and degradation forecasts. This could support more precise decisions about:
- The number and type of replacement packs required;
- Where spare packs should be positioned;
- When packs are likely to be needed; and
- Whether repair, replacement or continued monitoring is the most appropriate response
The value lies in connecting battery intelligence with parts planning, procurement and after-sales operations.
Maintenance based on predicted need
RUL can also change how battery maintenance is organised. Fixed schedules and fault-triggered interventions provide limited insight into the different degradation paths of individual batteries.
Predictive information creates scope for maintenance decisions based on expected battery behaviour. A battery showing stable performance may continue in operation, while one displaying an accelerating degradation pattern may require inspection, repair or replacement.
For OEMs and their authorised service networks, this could support:
- Earlier identification of emerging battery issues;
- Better preparation before a vehicle reaches the workshop;
- More targeted diagnostic procedures;
- Improved coordination between technical support and spare-parts availability; and
- Clearer decisions about continued use, repair, replacement or second-life assessment
The result is a more differentiated maintenance model, shaped by the condition and expected future performance of each battery.
Operational Excellence as the integrating capability
RUL information has relevance for engineering, after-sales, warranty, service operations, supply-chain planning, sustainability, compliance and finance. Its value depends on how effectively these functions convert a prediction into a coordinated operational decision.
Operational Excellence and Continuous Improvement teams are well positioned to act as the integrating capability. Their role can be to connect technical RUL outputs with the processes, responsibilities and performance measures governing warranty, maintenance and spare-pack decisions.
This could include:
- Mapping the end-to-end process from battery data and RUL prediction to operational action;
- Defining ownership, decision thresholds and handovers between functions;
- Incorporating predictive signals into standard operating procedures;
- Identifying delays, duplication and unnecessary testing within existing processes;
- Aligning operational KPIs with battery-condition and lifecycle outcomes; and
- Establishing feedback loops through which real-world results improve both processes and prediction models
The objective is not simply to introduce another source of data. It is to redesign the decision process around the new intelligence.
For example, an RUL alert may involve engineering validation, warranty assessment, customer communication, workshop planning and spare-pack availability. Without an agreed process, each function may interpret or respond to the same prediction differently. Operational Excellence teams can create the shared workflow through which the signal becomes a consistent, measurable action.
OEMs may therefore not require an entirely new organisational department. They will require a structured cross-functional operating model, and their existing Operational Excellence and Continuous Improvement capabilities can provide the foundation for building it.
Validation will determine business value
The commercial value of RUL will depend on confidence. OEMs will need evidence that predictions remain reliable across different battery chemistries, products, operating environments and use patterns. They will also need transparent decision thresholds and clarity regarding responsibility when a prediction informs maintenance or warranty action.
This makes validation central to exploitation. A technically advanced model becomes commercially useful when an organisation can understand its output, assess its uncertainty and incorporate it confidently into operational processes. Operational Excellence teams can support this transition by testing predictive insights within controlled processes, measuring the resulting operational outcomes and refining the workflow before wider deployment.
From battery data to operational advantage
The Digital Battery Passport establishes an environment in which battery information can travel further across the lifecycle. RUL adds a forward-looking dimension to that information.
For OEMs, the opportunity extends across warranty management, spare-pack planning, maintenance, after-sales operations and future lifecycle decisions. The organisations that benefit most will be those that connect validated predictive intelligence with clear ownership, cross-functional processes and practical decision rules.
Through its participation in the BASE project, SERAPH is exploring how emerging Digital Battery Passport capabilities can be translated into Operational Excellence, implementation readiness and sustainable business value.
The strategic question for OEMs is becoming clear: how will predictive battery intelligence be embedded into the processes and decisions that shape operational performance every day?
Ready to harness the DBP for operational advantage?
Do you need support, guidance and insights on automotive manufacturing excellence? Let’s talk https://seraph.com/contact-us/
About Seraph
Seraph is a global operations and strategy consulting firm, that leads value chain improvements, restructurings, and turnarounds. We unite the disparate roles in operationally intensive businesses to create efficient operations, bridging the divide from concept to production. High-level decision-makers in manufacturing and industrial organizations rely on us to solve complex issues and launch initiatives that ensure success and sustainable change.
Seraph is a member of the BASE Battery Passport for Transparency and Circularity consortium.
The BASE project has received funding from the Horizon Europe Framework Programme (HORIZON) Research and Innovation Actions under grant agreement No 101157200
Visit the BASE website here: https://base-digibattpass.eu/
Executive Summary
In our previous article, we explored how battery intelligence could help OEMs make more informed about safety and recall decisions. The same intelligence has the potential to transform another critical area of the automotive business: after-sales service.
Today, technicians often spend valuable time identifying the source of battery-related issues before repairs can begin. Increasingly, however, battery information is becoming available long before the vehicle reaches the workshop. Digital Battery Passports (DBP), State of Health (SoH), Remaining Useful Life (RUL), Digital Twins and predictive analytics are creating the foundations for a new service model, one where diagnostics begin with information rather than investigation.
For OEMs, the opportunity extends far beyond faster repairs. Better battery intelligence could improve workshop productivity, reduce unnecessary battery replacements, optimize warranty management, shorten vehicle downtime, and enhance customer experience. But are your after-sales operations ready to use better battery data?
The Shift
Imagine a customer arriving at a dealership because the vehicle reports reduced battery performance. Today, the technician begins by asking questions such as:
What might be the problem? What caused it? Is it related to battery degradation, software, charging behavior, or operating conditions etc.? Only then does the diagnostic process begin.
Tomorrow, the process may start very differently. Before the technician even connects a diagnostic tool, key battery information may already be available through the Digital Battery Passport and connected systems, including State of Health (SoH), charging history, previous maintenance events, diagnostic records and Remaining Useful Life (RUL). Instead of spending time gathering information, technicians can begin by interpreting it. The diagnostic process shifts from investigation to informed decision-making.
Why Executives Should Care
Every additional hour spent diagnosing a vehicle affects workshop capacity, technician productivity, customer satisfaction and warranty costs. As battery intelligence improves, after-sales operations may increasingly become data-driven. Potential benefits include:
- shorter diagnostic processes
- higher first-time fix rates
- fewer unnecessary battery replacements
- improved workshop planning
- better warranty decisions
- reduced vehicle downtime
- improved customer confidence
Perhaps the greatest opportunity is that technicians spend less time trying to understand the problem, and more time solving it.
Learning from Industry
Elements of this transformation are already beginning to appear across the automotive industry.
Case 1 – Remote diagnostics before the workshop visit
Several vehicle manufacturers now analyze battery information remotely before a customer even arrives at a service center. Instead of beginning diagnostics from scratch, technicians can review battery status, software versions, diagnostic events, and historical operating data in advance. This allows workshops to prepare tools, software updates, or replacement parts before the appointment, improving both workshop efficiency and customer experience.
The principle is simple. The more information available before the vehicle enters the workshop, the less time is spent investigating once it arrives.
Case 2 – Software increasingly becomes part of the repair
Recent battery recalls have also demonstrated another important trend.
Rather than immediately replacing battery packs, manufacturers have increasingly introduced software capable of monitoring battery behavior and identifying vehicles requiring further intervention. Software is therefore becoming more than a diagnostic tool. It is becoming part of the service strategy itself. This represents an important shift as the workshops may increasingly rely on battery intelligence to determine whether intervention is needed before deciding how to perform it.
Strategic Insight
The greatest opportunity with Digital Battery Passport and battery intelligence is that with all the available information it may be reducing the uncertainty that may exist before the repair. This reflects a broader principle of operational excellence: better visibility leads to better decisions.
For decades, workshop diagnostics have focused on discovering what happened. Battery intelligence has the potential to shift that effort towards understanding why it happened and deciding what should happen next.
When technicians spend less time searching for information and more time solving problems, organizations reduce waste, improve consistency, and create conditions for continuous improvement. The future competitive advantage may not come from repairing batteries faster, but it may well come from eliminating the time spent understanding what needs to be repaired.
What Makes This Possible?
Several technologies are beginning to converge:
- The Digital Battery Passport provides trusted lifecycle information
- Digital Twins help maintain an up-to-date digital representation of the battery
- State of Health (SoH) measures battery degradation
- Remaining Useful Life (RUL) estimates future performance
- Predictive analytics identify patterns that may indicate emerging issues before they become critical
Together, these technologies create something far more valuable than individual datasets. They create context. However, information alone is not enough. To generate real business value, battery intelligence must integrate with existing workshop management systems, diagnostic tools, warranty platforms, and customer service applications.
This is where APIs become increasingly important. An API (Application Programming Interface) allows different software systems to exchange information automatically.
Rather than manually searching for battery history across multiple applications, future workshop systems may retrieve relevant information automatically, giving technicians immediate access to the insights they need. Ultimately, Digital Battery Passports are not replacing existing systems. They are becoming another intelligent source of information within an increasingly connected digital ecosystem.
Leadership Questions
As battery intelligence continues to evolve, executive teams may wish to ask:
- How much workshop time is currently spent finding information rather than repairing vehicles?
- Can our after-sales systems consume Digital Battery Passport data?
- Are we collecting battery information that technicians can actually use?
- Which department owns battery intelligence once the vehicle leaves production?
- Could battery intelligence reduce warranty costs while improving customer experience?
- Are we preparing only for regulatory compliance or for the next generation of connected after-sales?
Conclusion
For decades, competitive advantage in after-sales has often depended on technician expertise, workshop efficiency and service quality. These will remain essential, however, for some companies, the next competitive advantage may come from something different – having better information and using it in the right way. Because the workshop of the future may be capable of repairing the batteries the fastest, but it will be the one that chooses to understand them before the first diagnostic tool is even connected.
Ready to harness the DBP for operational advantage?
Do you need support, guidance and insights on automotive manufacturing excellence? Let’s talk https://seraph.com/contact-us/
About Seraph
Seraph is a global operations and strategy consulting firm, that leads value chain improvements, restructurings, and turnarounds. We unite the disparate roles in operationally intensive businesses to create efficient operations, bridging the divide from concept to production. High-level decision-makers in manufacturing and industrial organizations rely on us to solve complex issues and launch initiatives that ensure success and sustainable change.
Seraph is a member of the BASE Battery Passport for Transparency and Circularity consortium.
The BASE project has received funding from the Horizon Europe Framework Programme (HORIZON) Research and Innovation Actions under grant agreement No 101157200
Visit the BASE website here: https://base-digibattpass.eu/
Executive Summary
Battery recalls have traditionally been designed around one fundamental limitation: organisations often knew which battery model or production batch might be affected, but not which individual batteries actually presented a safety risk.
As battery intelligence continues to evolve, this assumption is beginning to change.
Advances in Digital Battery Passports (DBP), predictive battery analytics, State of Safety (SoS), State of Health (SoH) and Remaining Useful Life (RUL) have the potential to shift recall strategies from broad, fleet-wide actions towards more targeted interventions.
The opportunity extends beyond safety. Better battery intelligence could reduce recall costs, minimise unnecessary replacements, improve customer confidence and support faster, more informed operational decisions.
Recent industry recalls have already highlighted this challenge. In several cases, manufacturers identified potential battery safety issues but could not confidently determine which individual batteries required intervention. As a precaution, broad vehicle populations were recalled while additional diagnostic software was deployed to improve visibility into battery behaviour before replacement decisions were made.
The question for OEMs is no longer whether more battery information will become available but rather whether organisations are prepared to use that information strategically.
The Shift
Imagine an automotive manufacturer identifying a potential battery issue affecting one vehicle platform. Today, the safest response may be to recall an entire production batch because there is insufficient information to confidently distinguish between batteries that require intervention and those that do not. Tomorrow, the decision may look very different. Instead of asking: “Which production batch should we recall?” Organisations may increasingly ask: “Which individual batteries genuinely require intervention?”
That represents a fundamental shift in how safety actions may be planned.
Rather than treating every battery within a manufacturing batch as carrying the same level of risk, future recall strategies may become increasingly data-driven, allowing organisations to prioritise interventions where they are genuinely needed.
Why Executives Should Care
Well, battery recalls are expensive. They involve direct repair costs, logistics, replacement parts, customer communication, regulatory reporting and reputational risk. They also affect customer trust, dealer operations and warranty budgets.
A broad recall may be appropriate when uncertainty is high. However, unnecessary recalls also create significant operational and financial consequences.
As battery intelligence improves, OEMs may increasingly make safety decisions by combining engineering expertise with richer lifecycle data rather than relying solely on manufacturing records.
Potential benefits could include:
- reducing unnecessary inspections
- prioritising higher-risk batteries
- improving workshop planning
- reducing vehicle downtime
- strengthening customer confidence
- improving warranty cost management
- supporting more efficient regulatory reporting
Perhaps most importantly, organisations may begin making safety decisions based on evidence from individual batteries rather than assumptions about entire production batches.
Learning from Recent Industry Recalls
Recent industry recalls suggest that the future of battery safety may depend not only on identifying defects, but also on improving the quality of information available when critical decisions need to be made.
Case 1 – When uncertainty drives broad recalls
A major automotive manufacturer identified a potential battery safety issue affecting one of its electric vehicle platforms. The challenge was not simply the battery defect itself, but rather it was the inability to confidently determine which individual batteries actually contained the anomaly.
Unable to distinguish affected batteries with sufficient confidence, the manufacturer recalled the entire potentially affected vehicle population. As part of the initial remedy, diagnostic software was deployed to monitor battery behaviour and help identify batteries requiring further intervention before replacement decisions were made.
This illustrates an important lesson. When uncertainty is high, organisations naturally choose the safest option, even if that means recalling significantly more vehicles than may ultimately require intervention.
Case 2 – Battery intelligence supporting better decisions
Another large-scale battery recall followed a different approach. Instead of immediately replacing every battery, the manufacturer introduced advanced diagnostic software capable of continuously monitoring battery behaviour. The software helped identify batteries requiring further action while allowing others to continue operating under enhanced monitoring.
Although these approaches are still evolving, they demonstrate an important direction of travel. Battery intelligence is increasingly becoming part of the safety decision itself.
Rather than treating every battery identically, organizations can begin using operational data to improve the quality of safety interventions.
Strategic Insight
The greatest value of battery intelligence may be improved decision-making. Organizations that continue viewing battery data primarily as a compliance requirement could overlook one of its greatest strategic opportunities: transforming safety management from a reactive process into a continuously informed decision-making capability. The future competitive advantage may not be identifying battery issues faster. It may be identifying exactly which batteries require action and which do not.
What Makes This Possible?
Several developments are beginning to converge:
- Digital Battery Passports improve the availability and traceability of battery information throughout the battery lifecycle
- State of Health (SoH) provides insight into battery degradation
- Remaining Useful Life (RUL) estimates how long a battery is expected to continue performing under defined operating conditions
- State of Safety (SoS) focuses on understanding the evolving safety condition of a battery by combining operational data, diagnostics and predictive analytics
Together, these capabilities create a much richer picture of battery behavior than has traditionally been available. Rather than relying solely on historical manufacturing information, organizations may increasingly incorporate operational evidence into safety decisions. The objective is not to replace engineering judgement. It is to provide engineers with better information on which to base critical safety decisions.
What Organizations Can Do Today
Although these capabilities continue to mature, OEMs do not need to wait before preparing. Useful starting points include:
- assessing what battery information is already available across the organisation
- identifying where critical battery data is fragmented across different systems
- reviewing whether current recall processes could benefit from richer battery intelligence
- considering how Digital Battery Passports may integrate with existing quality, safety and after-sales processes
- strengthening collaboration between engineering, quality, after-sales, IT and digital transformation teams
- identifying where predictive analytics could improve future safety decision-making
Organizations that build strong battery data foundations today will be better positioned to benefit from future predictive capabilities.
Leadership Questions
As battery intelligence continues to evolve, executive teams may wish to ask:
- If we could identify individual battery risk with greater confidence, how would our recall strategy look like or change?
- Which decisions are currently driven by limited information rather than evidence?
- Are our existing systems capable of combining manufacturing, operational, and service data?
- Which departments should own battery intelligence within our organization?
- Could better battery intelligence become a source of competitive advantage rather than simply a compliance requirement?
- Are we preparing only for compliance, or also for the next generation of battery safety management?
Conclusion
Battery recalls will always remain an essential safety tool. However, the way organizations decide when, why, and which batteries require intervention is likely to evolve significantly over the coming years. The organizations that prepare today will not necessarily be those with the most battery data. They will be those that know how to turn battery data into better decisions.
Ready to harness the DBP for operational advantage?
Do you need support, guidance and insights on automotive manufacturing excellence? Let’s talk https://seraph.com/contact-us/
About Seraph
Seraph is a global operations and strategy consulting firm, that leads value chain improvements, restructurings, and turnarounds. We unite the disparate roles in operationally intensive businesses to create efficient operations, bridging the divide from concept to production. High-level decision-makers in manufacturing and industrial organizations rely on us to solve complex issues and launch initiatives that ensure success and sustainable change.
Seraph is a member of the BASE Battery Passport for Transparency and Circularity consortium.
The BASE project has received funding from the Horizon Europe Framework Programme (HORIZON) Research and Innovation Actions under grant agreement No 101157200
Visit the BASE website here: https://base-digibattpass.eu/
Executive Summary
Battery systems are a significant cost and risk factor for electric vehicles and industrial equipment. Historically, original equipment manufacturers (OEMs) have absorbed much of the uncertainty in battery performance through conservative design, warranty reserves, and post-market service processes. The Digital Battery Passport (DBP) requirement introduces structured, retrievable lifecycle data into the value chain. This data focus increases visibility into manufacturing variability, use-pattern effects, and early degradation signals. For OEMs, this reduces the ability to treat battery behaviour as latent uncertainty and shifts the emphasis toward earlier defect detection and process control. Over time, clearer visibility into performance data will affect warranty provisioning, supplier accountability, and manufacturing quality systems.
The Nature of Battery Uncertainty
Battery performance and durability vary for reasons that are partly technical and partly operational. Cell chemistry variability, pack assembly differences, thermal management, and use patterns all contribute to variation in State of Health (SoH), State of Safety (SoS) and State of Performance (SoP). Until recently, much of this variation was managed indirectly: conservative design margins, warranty reserves, and reactive failure analysis. The move toward formalised lifecycle data exposes this uncertainty rather than obscures it.
Warranty Risk and Provisioning
In financial terms, OEM warranty provisioning for batteries typically involves setting aside a reserve based on statistical expectations of failure and degradation. For example, if an OEM sells 300,000 vehicles with a battery pack warranty over 8 years, and expects a 5% early degradation escape rate, that is 15,000 warranty exposures. If each case averages €2,000 in cost (diagnosis, replacement, logistics), the provision requirement is roughly €30 million.
This calculation depends on assumptions: degradation rates, failure modes, usage patterns. Those assumptions have been necessarily conservative because real-world data was incomplete. Warranty reserves absorb both known and unknown variability. The DBP changes this because it generates structured performance evidence at the pack and cell level. Over time, OEMs will be able to refine their assumptions with actual data rather than industry defaults or internal estimates.
When Uncertainty Becomes Data (therefore Visibility)
Under a DBP regime, structured performance indicators will be captured throughout the lifecycle – from manufacture through assembly, installation, operation and end-of-life. This data will make systematic patterns visible. Variability that was once hidden in aggregated warranty statistics will be traceable at the batch, module or even cell level.
For example, if a particular manufacturing lot of modules exhibits higher-than-average SoH decay within the first 12 months, DBP data can reveal that pattern sooner than warranty claim data alone. Early detection of such patterns allows for corrective action in the manufacturing process rather than absorbing cost through warranty.
This changes quality management logic. Instead of reacting to warranty claims, OEMs and suppliers can detect drift in performance indicators and initiate targeted root cause analysis.
Implications for Manufacturing and Quality Systems
From a manufacturing perspective, DBP data highlights several focal points:
- Process variability: Higher variability in key performance indicators (KPIs) becomes visible earlier
- Supplier integration: Data from upstream suppliers becomes integral to traceability and defect analysis
- Cross-system consistency: Harmonising data across MES (Manufacturing Execution Systems), ERP (Enterprise Resource Planning), and quality systems becomes necessary
- Early signal detection: Continuous performance data enables more refined statistical process control (SPC)
These elements are familiar in manufacturing improvement methodologies such as Six Sigma or Total Quality Management. What is new is that performance data – once only partially visible through warranty events – will be available continuously and in structured form. This affects how quality teams prioritise inspections, adjust process controls, and engage with suppliers.
Procurement and Supplier Accountability
The DBP also affects procurement strategy. Historically, battery suppliers were evaluated largely on cost, performance, and delivery. Where data from suppliers was incomplete, OEMs accepted that quality signals would emerge over time through warranty trends.
With DBPs, supplier data becomes part of the compliance and quality framework. Procurement must assess not only technical parameters but also data transparency, traceability and completeness. The metric becomes: can the supplier provide the data necessary for structured lifecycle performance evaluation?
If a supplier cannot provide this data, the OEM has fewer options than before. Incomplete data creates blind spots in quality visibility and warranty exposure. Contract terms will need to be adjusted to include data provision obligations, traceability requirements, and performance indicators that can be auditable.
Service Strategy and Field Diagnostics
Service and aftersales organisations will also see practical impacts. DBP data can support:
- More accurate failure diagnosis in the field
- Reduced unnecessary replacements
- Better alignment between service policies and actual performance indicators
- Improved root cause tracking
For example, rather than replacing a battery pack based on a general SoH threshold or a customer complaint, service technicians can consult DBP-derived signals that indicate whether a deviation reflects manufacturing variation, use conditions, or genuine defect.
Over time, this reduces service costs and improves customer experience, because decisions are grounded in structured evidence rather than heuristic thresholds.
Conclusion
The Digital Battery Passport does not change the technical reality of battery systems, but it changes the level of visibility surrounding them. Performance variation, degradation patterns and defect trends will be more consistently documented and easier to trace across manufacturing, integration and field use.
For OEMs, this means warranty risk can no longer be managed primarily through only conservative assumptions and financial buffers. Structured lifecycle data will support earlier detection of deviations, clearer supplier accountability and more precise provisioning decisions. In parallel, manufacturing and quality systems will need to integrate this data into routine process control and feedback mechanisms.
Over time, the organisations that align warranty management, procurement standards and manufacturing improvement around structured performance data are likely to see more stable cost profiles and fewer late-stage corrections. The impact is not sudden or dramatic. It is gradual and cumulative, reflecting the way disciplined quality systems typically evolve.
In this environment, the Digital Battery Passport becomes part of the broader operating model – not as an external reporting layer, but as a structured input into quality, risk and capital decisions.
Ready to harness the DBP for operational advantage?
Do you need support, guidance and insights on automotive manufacturing excellence? Let’s talk https://seraph.com/contact-us/
About Seraph
Seraph is a global operations and strategy consulting firm, that leads value chain improvements, restructurings, and turnarounds. We unite the disparate roles in operationally intensive businesses to create efficient operations, bridging the divide from concept to production. High-level decision-makers in manufacturing and industrial organizations rely on us to solve complex issues and launch initiatives that ensure success and sustainable change.
Seraph is a member of the BASE Battery Passport for Transparency and Circularity consortium.
The BASE project has received funding from the Horizon Europe Framework Programme (HORIZON) Research and Innovation Actions under grant agreement No 101157200
Visit the BASE website here: https://base-digibattpass.eu/
Germany’s automotive supplier industry, long regarded as the engineering backbone of Europe’s largest economy, is in its most severe contraction in a generation. The numbers are stark. The pace is accelerating. The consequences reach well beyond the companies directly affected.
For manufacturing leaders watching from elsewhere in Europe, this is not a distant problem. It is a signal of what happens when structural transformation, geopolitical disruption, and financial strain converge on an industrial ecosystem that was, until recently, considered unshakeable.
A crisis measured in tens of thousands of jobs
The scale of workforce reductions across Germany’s top-tier suppliers is now without modern precedent.
ZF Friedrichshafen is cutting up to 14,000 German jobs by 2028 as part of a €6 billion cost-reduction programme, with roughly half falling in its electric powertrain division. Bosch announced 13,000 further cuts from its mobility division in September 2025, on top of 9,000 previously announced, targeting €2.5 billion in annual savings. Continental is reducing its global workforce by 7,150 and closing sites including Schwalbach am Taunus and Wetzlar. Schaeffler is cutting 4,700 jobs across Europe.
Together, Bosch, ZF, Continental and Schaeffler announced over 54,000 job cuts in 2024 alone. That is more than the combined redundancies during the pandemic years of 2020 and 2021, according to CLEPA. Put differently: a single year of structural adjustment has now surpassed two years of a global health crisis that shut down production lines across the continent. The VDA estimates the German auto sector has shed around 55,000 jobs over the past two years, with tens of thousands more expected by 2030.
The Mittelstand is bleeding just as badly. Corporate insolvencies in Germany reached a ten-year high of 23,900 in 2025. The automotive supplier segment is disproportionately affected: 155 insolvencies since 2020, 19 in the first half of 2025 alone, affecting an estimated 43,000 employees. Kiekert AG, inventor of the modern central locking system, filed for insolvency in September 2025. The Goodyear plant in Fulda closed after 125 years.
What’s driving the collapse
This is not the result of a single cause. It is the convergence of five structural forces:
- The EV transition’s painful economics. – European vehicle production is down 20% versus pre-pandemic levels. EV investment contracted to €5.64 billion in 2024, the lowest since 2019. Electric vehicles require significantly less labour than combustion-engine cars.
- Chinese competition. – China, once the German auto industry’s most profitable market, has become its most formidable competitor, displacing German market share both in China and internationally.
- US tariffs. – German automotive exports to the US fell almost 14% in the first three quarters of 2025. Researchers now describe this reduced level as potentially the “new normal.”
- Structural cost disadvantages. – High energy costs, elevated labour costs, regulatory burden, and constrained SME financing are compressing margins throughout the value chain.
- OEM pricing pressure. – Profits at the world’s 19 largest carmakers fell roughly 50% in the first half of 2025. That pressure is being passed down the chain aggressively.
Our view: the hardest stretch is still ahead
It would be comforting to read the 2024 and 2025 numbers as the peak of the cycle. We do not believe they are.
In our view, the industry is only some distance into its death valley, not emerging from it. The job losses and insolvencies reported to date reflect strategic restructuring and demand weakness. They do not yet reflect the full impact of supply chain disruption, which is where the next leg of pain is likely to come from.
The exposure is acute. European automotive supply chains remain deeply dependent on materials, components and energy flows routed through the Strait of Hormuz and adjacent corridors. A sustained disruption there, whether through direct military escalation, secondary sanctions, or the cascading insurance and shipping effects that follow, would strike an industry already operating with thinned inventories, weakened Tier 3 and Tier 4 suppliers, and limited balance sheet capacity to absorb a shock. What looked like prudent lean operations in 2019 now looks like fragility.
The companies that have been cutting to survive the current downturn may find themselves underprepared for the next one. That is the harder phase of the valley, and it is the one suppliers should now be planning for.
Three priorities for supplier leadership
For suppliers themselves, particularly those in the Mittelstand where distress is most acute, navigating this cycle will depend on disciplined execution against a narrow set of priorities.
1. Ruthless cost scrutiny. Structural, not tactical.
Across-the-board headcount reductions buy months. Structural cost resets buy years. The suppliers emerging strongest will be those that have re-engineered their cost base: consolidated footprints, renegotiated sub-tier contracts, eliminated low-margin SKUs, simplified SG&A. This is harder than announcing layoffs. It is also what the market will ultimately reward.
2. Build operational and financial resilience.
Diversify customer concentration where possible. Stress-test liquidity against a deeper and longer downturn than current consensus forecasts. Actively monitor sub-tier exposure. The insolvency wave is moving downward through Tier 3 and Tier 4, and a single sub-supplier failure can halt a production line for weeks. Resilience is no longer a hedge against a worst case. It is the baseline assumption.
3. Protect innovation, but focus it.
The reflex to protect innovation at all costs is understandable. In this cycle, it is also the trap. ZF’s debt-laden balance sheet, built up through acquisitions of TRW and Wabco, constrained its R&D investment precisely when electrification demanded more of it. Suppliers attempting to sustain full capability across ICE, hybrid, and EV platforms simultaneously are running out of runway.
The discipline required now is choosing where to innovate. The winners will be those who pick their terrain, whether software-defined vehicle systems, thermal management, power electronics, or high-value ICE components for markets that will persist longer than headlines suggest, and concentrate R&D there. Strategic clarity, not hedging, is what the market rewards.
The wider implication
The German supplier crisis is not an isolated German problem. It is restructuring the European manufacturing landscape in real time.
Supply chain risk is elevated. Dual-sourcing and financial health monitoring are no longer optional. Tens of thousands of highly skilled manufacturing professionals, engineers, toolmakers, quality managers, production leaders, are entering the market, representing an extraordinary hiring opportunity for companies in growth sectors. Consolidation is accelerating. Automotive M&A in Germany declined 41% in 2025, but turnaround-focused investors are actively acquiring distressed assets, and that will intensify through 2026.
The German supplier industry will survive this storm. But it will emerge smaller, more consolidated, and fundamentally different in structure. The companies that navigate it successfully will be those that move decisively, on costs, on portfolio focus, on diversification, rather than waiting for the market to stabilise.
Seraph is an operations and manufacturing consultancy that works alongside executive teams to stabilise, restructure, and transform industrial operations.
