Modelling Engineer - Li Ion Cell Design

Overview:

The Cell Modelling Engineer participates as a team player in performing multi-physics based battery aging modelling. The model developed will serve as the basis for age-aware operation of cells in BESS conditions, residual life assessment, and customer warranty claims.

This role reports to the Lead - Cell Design and collaborates closely with Testing and R&D teams for model validation.

Key Responsibilities:

1. Model Development

• Multi-Physics Modelling: Construct multi-physics models for battery design optimization.
• Thermal Modelling: Develop models for thermal predictions of batteries.
• Aging Model Support: Support the development of aging models to enable age-aware operation of cells in BESS conditions, residual life assessment, and warranty claim evaluation.

2. Model Validation

• Experimental Validation: Perform experiments to validate models against actual cell behavior and performance data.
• Correlation Analysis: Correlate simulation outputs with test data to refine and improve model accuracy.

3. External Collaboration

• External Lab Support: Support modelling-related activities performed at external labs and with academic/research partners.
• Cross-Functional Alignment: Coordinate with Cell Design, R&D, and Testing teams to ensure model inputs and validation data are aligned with real-world cell performance.

Qualifications:

Master's degree in Chemical Engineering, Mechanical Engineering, or a related discipline, with working knowledge of batteries.

Location:

Based out of Navi Mumbai, Maharashtra.

Experience:

• 3-5 years of experience in cell multi-physics modelling.
• Hands-on experience in battery-related modelling and simulation.
• Good knowledge of electrochemical system modelling.
• Experience in battery testing for model validation.

Skills & Competencies:

• Expertise in CFD packages such as COMSOL or GT-SUITE; working knowledge of MATLAB preferred.
• Strong understanding of electrochemical and thermal behavior of lithium-ion cells.
• Ability to validate models experimentally and interpret correlation with test data.
• Strong analytical and problem-solving skills; ability to work independently and collaboratively across teams.
• Good technical documentation and reporting skills.