Battery Simulation AI4S Development Intern

职位描述

Job Description

A battery cell is a complex system involving multi-scale and multi-physics phenomena. Simulation of battery operation and aging mechanisms facilitates accelerated battery development. Based on the AI for Science (AI4S) research paradigm, you will systematically support battery cell R&D using advanced algorithms and engineering approaches, including AI-driven physical and data models.

Responsibilities

1.Develop thermal-mechanical-electrochemical multi-physics coupled models and 3D heterogeneous models for battery cells. Continuously refine and optimize models via experimental design, analysis, and validation from both parametric and mechanistic viewpoints.

2.Develop Discrete Element Method (DEM) or Coarse-Grained Molecular Dynamics (CGMD) algorithms to simulate electrode manufacturing processes and establish microstructural models of battery electrodes.

3.Develop multi-scale material-cell models by exploring coupling mechanisms among microscopic phase-field models, process-related DEM simulations, and macro-scale multi-physics models, and perform subsequent analytical validationsDevelop physical and data-driven models, along with parameter identification algorithms (e.g., electrochemical and mechanistic models), to accurately characterize battery aging processes.

4.Develop AI-driven algorithms to integrate multi-scale and multi-physics models, enabling rapid simulation and modeling of complex battery systems.

任职要求

Requirements

1.Knowledge of commercial battery chemistries, cell design, and manufacturing processes. Familiarity with cell testing protocols and characterization methods for extracting model parameters.

2.Proficient in at least one battery simulation software (e.g., COMSOL, AutoLion, Star-CCM+). Able to independently conduct electrochemical, electro-thermal, and multi-physics modeling and simulation. Familiar with parameter optimization algorithms and capable of developing standardized, streamlined workflows.

3.A solid theoretical foundation in electrochemistry, materials science, and mechanics. Proficient in at least one programming language (e.g., Python or C++), with strong software development and numerical analysis skills to rapidly implement and validate state-of-the-art battery models from literature.