Battery AI/ML Engineer

SES

Benefits
Skills

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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Confirmed 15 hours ago. Posted 30+ days ago.

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