RUL for OEMs: How the Digital Battery Passport Will Reshape Warranty, Spare Packs and Maintenance 

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/