The management and IT consultancy MHP has developed a new DIN SPEC together with Amazon Web Services (AWS) and another partner.” Photo credit: Adobe Stock.
A new technical standard jointly published by DIN (the German national standards body) and SAE International defines how electric vehicle (EV) digital twin batteries are described and categorised.
Digital twins are real-time, virtual representations of physical EV batteries. They draw on sensor data, artificial intelligence and machine learning to model and predict performance and health throughout the battery’s lifecycle. By mirroring the actual battery, these models deliver insights into degradation, support performance optimisation, and inform safer design, maintenance and operational strategies.
The DIN SAE SPEC 91487:2025-08, developed by management and IT consultancy MHP, a Porsche-owned company, together with Amazon Web Services (AWS) and another partner, provides a common framework for defining and categorising the terms and characteristics of digital twins.
The standard, issued today after “just under two and a half years” of work using the PAS process (a fast-track route to creating a standard), is intended to improve communication and facilitate collaboration between researchers, developers, cloud providers and other international partners in the EV battery industry. Industry-specific or algorithmic requirements are not included.
Christian Stapel, Partner at MHP, said the publication underlines the consultancy’s expertise in digital twins and its ability “to set up standards on the scale of DIN,” positioning it as “a reliable consulting partner in the development of further standards in various areas.”
Markus Schütten, Senior Manager at MHP, explained that the initiative emerged from the development of a digital twin at an automotive manufacturer where “there was a lack of fundamental standardisation.” He added: “With the appropriate competence and expertise, projects of this size can now also be successfully implemented.”
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MHP initiated and led the joint working group that produced the specification. AWS contributed a pre-formulated maturity model based on a Level 4 digital twin used to monitor and analyse EV batteries using live data, fleet knowledge and AI.
MHP says the DIN SAE SPEC will help companies more easily build and standardise digital twins, offer related services and classify them for legal reference. Through the involvement of SAE International, US-based firms can also adopt the specification. The partners aim to evolve the DIN SAE SPEC into an international ISO standard to promote global harmonisation.
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