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Job Description
This role involves developing and implementing AI and machine learning models for battery management, including state estimation, behavior prediction, and performance optimization, to enhance battery performance and safety.
Key Responsibilities
- Build data-driven models of batteries based on electrochemical knowledge and test data
- Develop battery state estimation algorithms such as SOC, SOH, and SOP
- Create battery behavior prediction methods including residual life and safety prediction
- Design battery management system solutions to optimize performance, charging, discharge, and cycle life
- Develop, deploy, test, and maintain battery algorithms in collaboration with a team
Requirements
- Master's degree or above in machine learning, AI, and big data related education background
- More than one year battery related working experience, understand battery data
- Have a certain understanding of the traditional battery management system BMS algorithm model
- Practical experience in AI and big data battery algorithm
- Experience in battery physical model building, P2D model, and digital twin development is preferred
Benefits & Perks
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