Senior Battery Modeling Engineer: EV Energy Systems

Clarios; Plymouth; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Health benefits

401(k) with match

Tuition reimbursement

Parental leave

Time off

Job summary

Clarios seeks an experienced Senior Modeling Engineer to lead the development of physics-based, data-driven, and system-level models for next‑gen energy storage systems. You will create ECMs, reduced-order and physics-based models, and predictive aging, SOC, SOH, SOP, and RUL tools to support design validation and optimization across automotive applications.

The role spans modeling development, controls, vehicle applications, and cross‑functional validation activities, coordinating with OEM

Qualifications

• Bachelor’s degree in Mechanical, Electrical, Systems, Chemical Engineering or a related discipline.
• At least 8 years of engineering experience with a minimum 5 years in modeling and simulation.
• Proficiency with MATLAB/Simulink and Simscape for model development.

Responsibilities

• Develop and maintain electrical, thermal, electrochemical, and system-level models for energy storage products.
• Create battery ECMs, reduced-order models, and physics-based representations.
• Develop SOC, SOH, SOP, and RUL prediction models.
• Simulate vehicle electrical loads and analyze battery performance under various events and conditions.
• Correlate simulations with lab and vehicle test data and establish validation methodologies.

Skills

MATLAB/Simulink

Simscape

State-space modeling

Education

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, Chemical Engineering or Related Engineering Discipline

Master’s Degree or PhD in Engineering, Applied Mathematics, Physics, or related field

Job description

Clarios seeks an experienced Senior Modeling Engineer to lead the development of physics-based, data-driven, and system-level models for next‑gen energy storage systems. You will create ECMs, reduced-order and physics-based models, and predictive aging, SOC, SOH, SOP, and RUL tools to support design validation and optimization across automotive applications.

The role spans modeling development, controls, vehicle applications, and cross‑functional validation activities, coordinating with OEM