Challenge : Harnessing auto parts’ data to derive new value
To maintain its excellent brand reputation as an innovator, our client, a global automaker and provider of e-mobility solutions, wanted to launch a new service: predictive maintenance for on-board chargers and high-voltage batteries for EVs.
The client was sending a lot of data (physical, vehicle, emergency call etc.) to a cloud-based platform: it asked Expleo to use this information to predict breakdowns. However, usual time-series and signal processing tools were unusable due to their low sampling rate.
Solution : Out-of-the box thinking
Using its automotive engineering skills in addition to data science, Expleo created a new methodology to use this information to classify failure. Expleo’s data experts designed a Machine Learning (ML) pipeline (Kernel) based on those weak signals to predict if/when the battery will soon break down, with nearly 100% accuracy for on-board chargers’ failure predictions and a similar outcome for batteries.
Outcome : Mission accomplished
Expleo found an alternative, and innovative, way to define which data can be used to classify failure. To perform this task, Expleo used its automotive engineering skills in addition to data science, combining a physical and data approach: it used error codes to identify the symptoms of failure.
Its global methodology to predictive maintenance is efficient – it will save time and reduce costs. It is also an intelligible way to perform predictive maintenance: since it is based on error codes, we can explain why the algorithm is predicting failure or not and correct the issue (interpretability).
Ultimately, predictive maintenance services will enable customers to have their vehicle serviced if needed rather than risk a breakdown on the road, increasing their satisfaction and thus our client’s brand reputation.
Client benefits
- New E-Mobility & Predictive maintenance offering
- Ready for production source code
- Global methodology for predictive maintenance
- Vehicle architecture does not need to be altered
- Final customer satisfaction can be increased by the provision of new and value-adding services
CUSTOMER SUPPORT & MAINTENANCE
Predictive maintenance
Based on vast amount of data recordings, Expleo offers predictive maintenance support enabling our clients to time their maintenance operations in advance and reduce their maintenance costs.
