Optimizing Energy Storage System and BMS Design

Overview

Industries are rapidly transitioning toward sustainable future, driven by stringent emission standards and the growing need for environment friendly solutions. Battery Electric Vehicles (BEVs) have emerged as a promising alternative, eliminating local emissions and aligning with sustainability goals. However, challenges such as limited range and battery longevity remain significant hurdles to widespread adoption.

This webinar will guide you through the process of designing and optimizing a battery pack for energy storage solution, focusing on enhancing performance, range and cost-effectiveness. You will learn to model battery pack, optimize pack design, and manage thermal systems. We will also cover Battery Management Systems (BMS) and using AI techniques to estimate State of Charge (SOC) and State of Health (SOH).

Highlights

• Battery Pack Design and Optimization
  • Balancing cost, range, and performance
  • Thermal Management System Design
• Ensuring safety and efficiency with Battery Management Systems (BMS)
• AI Techniques for Battery SoC and SoH Estimation

About the Presenter

Rahul Choudhary

Rahul is a principal application engineer at MathWorks India Private Limited and specializes in the field of System Modeling and Control Design. He has over 11 years of experience in power electronics control, motor control, multi-domain modeling, and real-time simulation. Before joining MathWorks, Rahul worked with Eaton India Engineering Centre as a Control Engineer where he was involved in developing prognostics and health monitoring algorithms for proof-of-concept projects for their electrical business using MATLAB and Simulink. He holds a master’s degree in Systems and Control Engineering from Indian Institute of Technology Bombay, Mumbai and a bachelor’s degree in Electronics and Instrumentation Engineering from Institute of Engineering and Technology, Lucknow, India.

Koustubh Shirke

Koustubh Shirke is a senior application engineer at MathWorks working in the area of artificial intelligence. He focuses on verticals like predictive modeling, reduced order modeling, IoT-based analytics, and cloud deployment. Koustubh has around eight years of industry experience with a strong background in the automotive industry. Prior to joining MathWorks, he worked extensively on AI-based projects in powertrain applications.

Vinayak Padmaji

Vinayak, controls engineer working in automotive sector for more than 8 years. He is experienced in modeling, simulation and testing of conventional and electric powertrain.