Solar PV Augmented Battery Electric Vehicle State of Charge and Temperature Analysis in Simscape

To enhance vehicle range and mitigate battery State of charge (SOC) depletion caused by auxiliary features, this work develops a comprehensive model in MATLAB Simscape of a Solar PV-augmented Li-Ion Battery Hybrid Electric Vehicle (SBEV), integrating critical performance parameters such as State of Charge (SOC), current drawn analysis, and battery temperature monitoring. The model simulates the dynamic interactions between solar energy harvesting, battery storage, and electric drive systems, providing insights into energy management strategies. By incorporating real-time SOC calculations, it enables efficient tracking of battery utilization, enhancing overall vehicle performance. Current drawn analysis optimizes power distribution for the battery according to various drive cycles, while battery temperature analysis ensures operational safety and longevity. Simulation results demonstrate the hybrid system's effectiveness in maximizing solar energy use, enhancing vehicle range, reducing reliance on conventional charging, and maintaining optimal battery health, serving as a foundational tool for model-based design decisions, significantly reducing testing and validation timelines and costs. In this work, we extend that modeling to consider vehicle Freightliner Electric Walk in Van MT50e. The work aims to predict the vehicle performance based on real world drive cycles and leads to further research and development in sustainable Hybrid EV technologies