Hybrid Electric Vehicle Energy Control System based on Minimum Energy Use Rate

Abstract

This research proposes an energy control method for hybrid electric automobiles with the objective of minimizing energy consumption rate. The method involves three main steps: (1) measuring energy source parameters under various driving conditions in a real automobile, (2) optimizing the efficiency of three energy sources based on power and energy consumption rate using a self-adaptive genetic algorithm, and (3) implementing an energy switching system to distribute energy during real-world driving based on State of Charge (SOC) and power demands of the hybrid system. The proposed method allows for rapid adaptation to real-world conditions, ensuring optimal operation of the multi-energy automobile and offering significant practical engineering value.