Battery AI/ML Engineer

 

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

 

Qualifications

  • 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

 

 

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