Battery Cell Model Engineer (SoX Algorithms)

We are seeking a Cell Model Engineer to design, implement, and validate advanced Battery Management System (BMS) algorithms.

You will focus on developing SoX frameworks (SOC, SOH, SOP, SOE) that ensure the safety, longevity, and performance of lithium-ion battery packs.

This role requires a deep understanding of lithium-ion degradation mechanisms and the ability to translate complex physical phenomena into robust mathematical models.

• Develop and implement State of Charge (SOC) , State of Health (SOH) , and State of Power (SOP) estimation algorithms.
• Design Equivalent Circuit Models (ECM) or Physics-Based Models (PBM) to represent cell dynamics.
• Utilize advanced estimation techniques such as Kalman Filters (EKF, UKF) , Recursive Least Squares (RLS), or Machine Learning-based approaches for time-series battery data.

• Define and oversee cell-level testing protocols (HPPC, Capacity Fade, Cycle Life) to parameterize models.
• Analyze large datasets from battery cyclers to extract electrochemical parameters and aging trends.
• Correlate lab-based data with real-world "field" performance to improve model accuracy.

• Translate models into production-ready code (C/C++ or Auto-generated code from Simulink).
• Perform Model-in-the-Loop (MIL) and Hardware-in-the-Loop (HIL) testing to validate algorithm robustness across various temperatures and aging states.