JOURNALS/BOOKS
Optimal control of energy management system for parallel hybrid electric vehicles using R-ECMS algorithm 2585-2598 Z-Y. Chen, S-E. Tong, B. Jiao

Energy Education Science and Technology Part A: Energy Science and Research

2014 Volume (issues) 32(4): 2585-2598

  

Optimal control of energy management
system for parallel hybrid electric

vehicles using R-ECMS algorithm

 

Ze-yu Chen1,2,*, Shang-e Tong2, Bin Jiao2

1State Key Laboratory of Automotive Simulation and Control, Changchun, China

2Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China

 

 

Received: 22 Febuary 2014; accepted: 26 April 2014

Abstract

 

Energy management strategy plays a critical role in enhancing the fuel economy for a hybrid electric vehicle. Taking a parallel HEV as research object, system model was built at first and a multi-mode energy management strategy was presented. For further reducing the fuel consumption, an optimization approach using rule-based equivalent consumption minimization strategy (R-ECMS) was proposed. The optimization objective was to minimize the total energy consumption from both engine and battery storage. The optimization effect was tested in MATLAB simulation with US06, ARB02 and HWFET driving cycles, which demonstrated the energy saving mechanism of the proposed R-ECMS optimization. Simulation results indicate that the energy consumption using E-ECMS optimization strategy can be reduced by about 3.65~5.05% compared with the traditional energy management strategy without optimization. This result also indicates that the energy saving effect of R-ECMS bears partly on the chosen driving cycle.

 

Keywords: Energy management strategy; Hybrid electric vehicle; Control strategy; Optimization Algorithm