Battery in the Cloud: Cloud-Based Analysis, Prediction, and Optimization of High-Voltage Batteries throughout their Lifetime

Authors

Dipl.-Ing. (BA) S. Schade, Robert Bosch GmbH, Stuttgart:

Year

2023

Print Info

Production/Publication ÖVK

Summary

EV-Battery systems face both – a dynamic growth and extensive R&D efforts. During operations a multitude of different challenges arise in field with influence on lifetime and performance of the battery. An early detection of potential risks and derived actions help to keep lifetime and performance up and – vice versa – quality costs low.

Connected solutions establishing digital twins of batteries provide a powerful tool to discover deviations early and apply improvement measures accordingly.

Utilizing hybrid algorithms as a fusion of big data, machine learning and electrochemical models Bosch enables an in-depth analysis, prediction and optimization of high-voltage batteries. Based on vehicle telemetry data state of health, aging, stress factors and anomalies are calculated and evaluated in the cloud. Optimized operation parameters can be derived individually per battery  – e.g. fast charging profiles.

Out of this quality risks can be detected early, quality costs can be reduced, the asset value of the battery and vehicle improved over lifetime and digital services can be enabled.

ISBN

978-3-9504969-2-5