PSO algorithm-based optimization of plug-in hybrid electric vehicle energy management strategy

The energy management strategy renders significant impacts on the operating performance of plug-in hybrid electric vehicles (PHEV), which are similar to the traditional hybrid electric vehicle. A comprehensive methodology based on Particle Swarm Optimization (PSO) is presented in the paper to achieve parameter optimization for the energy management strategy, with a view to reducing the fuel consumption of PHEV. The parameters of energy management strategy are set as the optimized variables by PSO, with dynamic performance index of PHEV being defined as the constraint condition. Computer simulations are hence carried out, which show the PSO scheme gives much preferable results to original energy management strategy, and thereby the fuel consumption of PHEV can be effectively reduced without sacrificing PHEV's dynamic performance.