Kaustubh Badwekar

Product Manager

Gaydon, England, United Kingdom9 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in battery modeling for electric vehicles.
Co-authored a peer-reviewed publication and co-invented a US patent.
Proficient in MATLAB, Simulink, and Python for battery simulations.

Stackforce AI infers this person is a Battery Technology Engineer specializing in electric vehicle systems and modeling.

Contact

Skills

Core Skills

Battery Management SystemsModelingBattery Dynamics Simulation

Other Skills

JiraElectromechanicsSimulationMachine LearningLaTeXNumerical AnalysisSystems ModelingAlgorithm DevelopmentNumerical Linear AlgebraFluid MechanicsProcess EngineeringTransport PhenomenaChemical EngineeringC++Reaction Engineering

About

I’m a battery modelling engineer with a focus on physics-based, data-driven, and empirical techniques for Li-ion systems. At Jaguar Land Rover, I develop high-fidelity electro-thermal models that support the next generation of electric vehicles. My work spans cell characterization, model-based design, virtual verification, aging analysis, BMS strategy and SoX algorithms —delivered through robust solutions in MATLAB/Simulink/Simscape and Python. Before joining JLR, I contributed to battery research at Tata Research Development & Design Centre, where I co-authored a peer-reviewed publication and co-invented a US patent. I’ve also briefly supported a battery manufacturer in a consulting role. Always open to connecting with fellow professionals!

Experience

9 yrs 6 mos

Total Experience

3 yrs 2 mos

Average Tenure

3 yrs 5 mos

Current Experience

Jlr

2 roles

Senior Simulation & Modelling Engineer

Promoted

Apr 2024 – Present · 2 yrs 1 mo · Gaydon, England, United Kingdom · Hybrid

Lead the development of electro-thermal cell models for accurate prediction of battery performance attributes under different operating scenarios
Develop system identification methodologies for parameterisation of Equivalent Circuit Models using MATLAB/Simulink
Create methods for cell characterization through various tests, such as Open Circuit Voltage (OCV), Hybrid Pulse Power Characterization (HPPC), Hysteresis, Drive Cycles, Electrochemical Impedance Spectroscopy (EIS), etc.
Validate the battery models for BEV / PHEV applications using real life data
Analyse battery data and evaluate model performance metrics to identify improvements for future model iterations
Develop models to enable the development and verification of BMS algorithms for SOX estimators
Collaborate with state-of-the-art laboratories and establish protocols for cell characterisation
Support the integration of cell models into pack models for virtual verification of requirements against different programmes
Develop state-flow based battery models to simulate aging behaviour and support warranty analysis
Provide technical support to the key electrification teams with battery models to aid the delivery of new electric vehicle programmes
Derive insights from simulations to aid problem solving in mainstream engineering

JiraElectromechanicsBattery Management SystemsModeling

Cell Modelling Engineer

Dec 2022 – Jul 2024 · 1 yr 7 mos · Gaydon, England, United Kingdom · Hybrid

Delivery of cell performance models for the virtual verification of concept and future vehicle programs
Develop, maintain and validate JLR’s library of electro-thermal cell models
Parameterisation of cell models using test data
Cell characterisation and testing
Support cell ageing and warranty analysis

ElectromechanicsModelingSimulationBattery Management Systems

Tata research development and design centre (trddc)

Researcher

Jul 2018 – Aug 2022 · 4 yrs 1 mo · Pune/Pimpri-Chinchwad Area · Hybrid

Developed in-house Python based tools to simulate battery dynamics using different modelling approaches
Implemented various physics based models for Li-ion batteries including the Newman model (DFN/ P2D), Single Particle Model (SPM), SPM with thermal and electrolyte dynamics (TSPMe)
Performed parameterisation and calibration of the models for different chemistries (LCO, NMC, Sodium-ion, etc.)
Validated the models against PyBaMM and COMSOL for different use cases
Collaborated with molecular modelling team to analyse the impact of electrolyte materials on battery performance under diverse conditions, such as temperature and varying current loads
Led the development of an Artificial Neural Network (ANN) based tool for solving partial differential equations occurring in physics-based battery models

Machine LearningElectromechanicsBattery Dynamics SimulationModeling