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Job Description
This role involves developing data-driven and AI-based models for battery management, including state estimation, behavior prediction, and performance optimization, to enhance battery performance and safety.
Key Responsibilities
- Build data-driven battery models 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
- Collaborate with a team to develop, deploy, test, and maintain battery algorithms
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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