Intelligent Energy Optimization of Parallel Hybrid Vehicles: Control and Monitoring Approach for Regenerative Braking Systems and Solar Panels.

This paper explores an innovative approach to optimize the energy management of hybrid vehicles by integrating regenerative braking and solar panels. Regenerative braking recovers kinetic energy during braking, reducing the dependence on mechanical energy sources, while solar panels convert solar energy to power the electric propulsion system. The study uses computer models and simulations to look at an advanced hybrid system. It focuses on the hybrid inverter and optimization algorithms, like the maximum power tracking (MPPT) algorithm to get the most power from the sun and genetic algorithms to make the best use of energy. Controls like pulse width modulation (PWM) and proportional integral (PI) are used to improve system performance. The vehicle performance is evaluated under various driving conditions, considering variables such as speed, battery charge, current, voltage, acceleration, and flux. Results show that the integration of these technologies reduces fuel consumption and greenhouse gas emissions, contributing to sustainable mobility. This work provides practical recommendations for the automotive industry to promote hybrid vehicles with advanced energy solutions.