Jixie chuandong (Jan 2016)

Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm

  • Deng Tao,
  • Lin Chunsong,
  • Li Ya’nan,
  • Lu Renzhi

Journal volume & issue
Vol. 40
pp. 80 – 84

Abstract

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Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle( HEV) which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions( CO,NOxand HC) evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. The simulation results show that,a Pareto optimal solution set can be obtained by the proposed multi- objectives optimization method. And the maximum fuel economy increases by 5. 30%,the largest CO emissions reduces by 3. 65%,in the biggest NOxfalls by 14.40%,the max HC drops down by 3.26%.

Keywords