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Open AccessArticle

Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach

by 1,2,*, 2, 1,2 and 2
1
Automotive engineering research institute, Jiangsu University, Zhenjiang 212013, China
2
College of automotive and traffic engineering, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(4), 588; https://doi.org/10.3390/en12040588
Received: 27 December 2018 / Revised: 9 February 2019 / Accepted: 11 February 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Energy Storage and Management for Electric Vehicles)
In this paper, the efficiency characteristics of battery, super capacitor (SC), direct current (DC)-DC converter and electric motor in a hybrid power system of an electric vehicle (EV) are analyzed. In addition, the optimal efficiency model of the hybrid power system is proposed based on the hybrid power system component’s models. A rule-based strategy is then proposed based on the projection partition of composite power system efficiency, so it has strong adaptive adjustment ability. Additionally. the simulation results under the New European Driving Cycle (NEDC) condition show that the efficiency of rule-based strategy is higher than that of single power system. Furthermore, in order to explore the maximum energy-saving potential of hybrid power electric vehicles, a dynamic programming (DP) optimization method is proposed on the basis of the establishment of the whole hybrid power system, which takes into account various energy consumption factors of the whole system. Compared to the battery-only EV based on simulation results, the hybrid power system controlled by rule-based strategy can decrease energy consumption by 13.4% in line with the NEDC condition, while the power-split strategy derived from the DP approach can reduce energy consumption by 17.6%. The results show that compared with rule-based strategy, the optimized DP strategy has higher system efficiency and lower energy consumption. View Full-Text
Keywords: hybrid power system; electric vehicle; rule-based optimal strategy; dynamic programming approach hybrid power system; electric vehicle; rule-based optimal strategy; dynamic programming approach
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MDPI and ACS Style

Pan, C.; Liang, Y.; Chen, L.; Chen, L. Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach. Energies 2019, 12, 588. https://doi.org/10.3390/en12040588

AMA Style

Pan C, Liang Y, Chen L, Chen L. Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach. Energies. 2019; 12(4):588. https://doi.org/10.3390/en12040588

Chicago/Turabian Style

Pan, Chaofeng; Liang, Yanyan; Chen, Long; Chen, Liao. 2019. "Optimal Control for Hybrid Energy Storage Electric Vehicle to Achieve Energy Saving Using Dynamic Programming Approach" Energies 12, no. 4: 588. https://doi.org/10.3390/en12040588

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