AI in BMS for Electric and Hybrid Vehicles

AI in BMS for Electric and Hybrid Vehicles
15 July 2020 Denni Rostirolla
News

High Performance, reduced sensor model uses AI in BMS for Electric and Hybrid Vehicles

ForthLite: Deep Learning AI solution that utilizes STMicroelectronics SPC5-STUDIO to accurately predict Li-Ion State of Health and Charge, using less sensors and optimized CPU resources

The presented platform involves a Machine Learning approach and demonstrates how data-driven approaches meet the challenge of reaching high accuracy while being light and computationally efficient. The architecture of the solution ensure the easiness of use and stands as a ready to use tool for R&D forces designing the next generation of AI-driven Battery Management Systems and constantly dealing with timings and budgetary constraints.

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