Real-Time Approximate Equivalent Consumption Minimization Strategy Based on the Single-Shaft Parallel Hybrid Powertrain

Penghui Qiang, Peng Wu, Tao Pan and Huaiquan Zang
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Penghui Qiang: Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Peng Wu: Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Tao Pan: Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Huaiquan Zang: Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2021, vol. 14, issue 23, 1-22

Abstract: Real-time energy management strategy (EMS) plays an important role in reducing fuel consumption and maintaining power for the hybrid electric vehicle. However, real-time optimization control is difficult to implement due to the computational load in an instantaneous moment. In this paper, an Approximate equivalent consumption minimization strategy (Approximate-ECMS) is presented for real-time optimization control based on single-shaft parallel hybrid powertrain. The quadratic fitting of the engine fuel consumption rate and the single-axle structure characteristics of the vehicle make the fitness function transformed into a cubic function based on ECMS for solving. The candidate solutions are thus obtained to distribute torque and the optimal distribution is got from the candidate solutions. The results show that the equivalent fuel consumption of Approximate-ECMS was 7.135 L/km by 17.55% improvement compared with Rule-ECMS in the New European Driving Cycle (NEDC). To compensate for the effect of the equivalence factor on fuel consumption, a hybrid dynamic particle swarm optimization-genetic algorithm (DPSO-GA) is used for the optimization of the equivalence factor by 9.9% improvement. The major contribution lies in that the Approximate-ECMS can reduce the computational load for real-time control and prove its effectiveness by comparing different strategies.

Keywords: real-time energy management strategy; single-shaft parallel hybrid powertrain; computational load; approximate-ECMS; DPSO-GA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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