Battery AI/ML Engineer
AI Summary
Build data-driven battery models and state estimation algorithms (SOC, SOH, SOP), predict battery behavior and safety, and optimize BMS strategies for charging, discharge, and cycle life.
About this role
Battery AI/ML Engineer
Responsibilities
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Build a data-driven model of battery based on electrochemical knowledge and test data
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Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP
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Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction
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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
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Work with a team to develop, deploy, test and maintain battery algorithms
- Write relevant technical documents
Qualifications
- Master's degree or above, machine learning, AI, and big data related education background
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More than one year battery related working experience, understand battery data
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Have a certain understanding of the traditional battery management system (BMS) algorithm model
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Practical experience in AI and big data battery algorithm
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Experience in battery physical model building (P2D model) and digital twin development is preferred
Skills
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