Tech Stack

Description

You will build data-driven models of batteries using electrochemical knowledge and test data, develop state estimation and prediction algorithms (SOC, SOH, SOP, residual life, safety), and provide novel BMS solutions to optimize battery performance. You'll work with a team to develop, deploy, test, and maintain algorithms.

Requirements

• Master's degree or above in ML, AI, or big data related field
• More than 1 year battery working experience with understanding of battery data
• Understanding of traditional BMS algorithm models
• Practical experience in AI and big data battery algorithms
• Experience in battery physical model building (P2D) and digital twin preferred

Responsibilities

• Build data-driven battery models using electrochemical knowledge and test data
• Develop state estimation algorithms (SOC, SOH, SOP)
• Develop battery behavior prediction methods (residual life, safety)
• Provide BMS solutions for performance optimization (charging, discharge, cycle life)
• Develop, deploy, test, and maintain battery algorithms with the team