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Energies 2017, 10(2), 214; doi:10.3390/en10020214

Stochastic Optimal Control of Parallel Hybrid Electric Vehicles

1,2
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1,3
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and
1,4,*
1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
3
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China
4
Jining Institutes of Advanced Technology, Chinese Academy of Sciences, Jining 272000, China
*
Author to whom correspondence should be addressed.
Academic Editor: Juan Manuel Corchado
Received: 8 September 2016 / Revised: 4 February 2017 / Accepted: 7 February 2017 / Published: 13 February 2017
View Full-Text   |   Download PDF [2637 KB, uploaded 13 February 2017]   |  

Abstract

Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially known driving cycles. To meet this problem, this paper adopts a stochastic dynamic programming (SDP) method for the EMS of a specially designed vehicle, a pre-transmission single-shaft torque-coupling parallel HEV. In this parallel HEV, the auto clutch output is connected to the transmission input through an electric motor, which benefits an efficient motor assist operation. In this EMS, demanded torque of driver is modeled as a one-state Markov process to represent the uncertainty of future driving situations. The obtained EMS has been evaluated with ADVISOR2002 over two standard government drive cycles and a self-defined one, and compared with a dynamic programming (DP) one and a rule-based one. Simulation results have shown the real-time performance of the proposed approach, and potential vehicle performance improvement relative to the rule-based one. View Full-Text
Keywords: parallel hybrid electric vehicle; energy management strategy; stochastic optimal control; stochastic dynamic programming parallel hybrid electric vehicle; energy management strategy; stochastic optimal control; stochastic dynamic programming
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Qin, F.; Xu, G.; Hu, Y.; Xu, K.; Li, W. Stochastic Optimal Control of Parallel Hybrid Electric Vehicles. Energies 2017, 10, 214.

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