Senior Energy Storage Modeling Engineer

Clarios

Plymouth (MI)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
401k with match
Tuition reimbursement
Parental leave
Disability insurance
Life insurance

Job summary

Clarios is seeking an experienced Senior Modeling Engineer to lead physics-based and data-driven models for automotive energy storage systems, including batteries, BMS, charging, and energy management.

You will work across product development, controls, and customer engineering to enable virtual design validation, performance prediction, and accelerated development for lead-acid, lithium-ion, and sodium-ion systems.

Qualifications

  • Bachelor's degree in Mechanical, Electrical, Systems, or Chemical Engineering.
  • Minimum 8 years of engineering experience.
  • Minimum 5 years of modeling and simulation experience.
  • Proficiency in MATLAB/Simulink and Simscape.
  • Experience with state-space modeling.

Responsibilities

  • Develop and maintain electrical, thermal, electrochemical, and system-level models of energy storage products.
  • Create battery equivalent circuit models (ECM), reduced-order models, and physics-based battery representations.
  • Develop battery aging, degradation, SOC, SOH, SOP, and RUL prediction models; build system simulations for various vehicle architectures.
  • Correlate simulation results with lab and vehicle test data; establish modeling standards and 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 is seeking an experienced Senior Modeling Engineer to lead physics-based and data-driven models for automotive energy storage systems, including batteries, BMS, charging, and energy management.

You will work across product development, controls, and customer engineering to enable virtual design validation, performance prediction, and accelerated development for lead-acid, lithium-ion, and sodium-ion systems.

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