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.

Hybrid electric automobile, Energy control, Minimum energy consumption rate, Energy source parameters, Self-adaptive genetic algorithm, Energy switching system.