In Episode 6 of the AI in E-Mobility series, we dive deep into how artificial intelligence is transforming battery management systems (BMS) in electric vehicles. Joining us are industry experts Fabrizio Martini, CEO of Electra Vehicles, and Mark Ng, Director of Automotive Systems at Texas Instruments, who share insights into how AI-driven BMS can revolutionize EV battery health, safety, and range prediction.

We explore how AI enhances BMS by offering real-time monitoring, predictive maintenance, and a “brain” for batteries. Learn how AI-powered BMS systems improve battery health predictions, reduce range estimation errors, and ensure optimal safety standards for EVs. This episode is essential for anyone interested in how AI can advance the EV battery industry and make electric vehicles more reliable and efficient.

Tune in to discover how companies like Texas Instruments and Electra Vehicles are pushing the boundaries of EV technology with AI.
Key Topics Discussed:

• The role of AI in EV Battery Management Systems (BMS)
• Real-time range prediction and battery health monitoring
• Using AI to reduce costs in battery testing and validation
• Hardware and software requirements for AI-driven BMS
• Future trends in AI for EV battery safety and performance

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https://www.electravehicles.com/
https://www.ti.com/
https://www.linkedin.com/in/fabrizio-martini-39068320/
https://www.linkedin.com/in/mark-ng-a076/
BMS technology video with Texas Instruments: https://youtu.be/63n58amC7p8
Electra Vehicles Roadtrip: https://www.youtube.com/shorts/3CzzUOIRwj0

🔍 What’s Next: This limited series will consist of 10 episodes featuring insights from industry experts and a deep dive into specific applications of AI throughout the battery lifecycle.
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