Dynamic BMS Development Engineer with 6+ years of experience in SoC, SoH, and SoP development using model-based design and machine learning. Skilled in MATLAB/Simulink, embedded systems, and battery modeling for EV applications.
- Validation of developed NDC model with different cell BOL test data
- Optimization and generalization of NDC model by developing a calibration script
- Support in integration with existing core functions and accuracy validation
- Development of new features based on the system requirements for the improved SoP for new vehicles
- Bug fixing and continuous improvement on existing SoP based on the System/Vehicle level testing finding
- Writing software requirements and support in unit level testing
- Support in development of SoH Estimation for Cloud BMS using AI
- Development of machine learning and neural network models for prediction
- Dataset Preparation, Exploratory Data Analysis, Feature Engineering, Model selection and Validation
- Model based development with unit level MIL and SIL testing in Matlab environment with code generation
- Development and optimization of BMS SoX(SoC, SoE, SoH, SoP) algorithms with the help of SimScape plant model
- Supporting in the ASW code integration with the BMS BSW
- Developed ML-based range prediction using real-time BMS data and usage patterns using Python
- Supported validation in the customer mobile application
- Designed new telematics system architecture for data acquisition and analysis of Force e-Traveler for energy optimization.