Job Description
Build a data-driven model of battery based on electrochemical knowledge and test data
Key Responsibilities
- Build a data-driven model of battery based on electrochemical knowledge and test data
- Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP
- Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction
- Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization
- Work with a team to develop, deploy, test and maintain battery algorithms
- Write relevant technical documents
Requirements
- Master's degree or above, 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
Ready to Apply?
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