To enhance vehicle range and mitigate battery State of charge (SOC)depletion caused by auxiliary
features, this work develops a comprehensive Simscape model of a Solar PV-augmented Li-Ion Battery Hybrid
Electric Vehicle (SBEV), integrating critical features 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. 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.
