Multi-objective Optimization of Energy Management Strategy for Hybrid Electric Bus
Based on Actual Road Conditions Gao Jianping, Sun Jiahui, Xi Jianguo, Ren Dexuan
Gao Jianping, Sun Jiahui, Xi Jianguo, Ren Dexuan Henan University of Science and Technology, Luoyang 471003） （ Abstract In order to solve the problem that the fuel economy and emission performance of Hybrid Electric Bus【 】(HEB) energy management strategy optimized based on standard driving cycles are not fully utilized under the actual road conditions, we collect the actual driving data of bus S122, synthesize the representative typical driving cycle by using the driving cycle construction method that combines principal component analysis and fuzzy clustering. Based on the actual driving cycles, we use multi- objective particle swarm optimization algorithm to optimize the vehicle control parameters, then make the driver- in- the- loop semi- physical simulation test with the optimized energy management strategy. The simulation results show fuel consumption is reduced by 8.19% and the comprehensive pollutant emissions is reduced by 8.63%.
Key words: Hybrid electric bus, Driving cycle, Multi- objective particle swarm optimization, Semi-physical simulation verification