An Economical Route Planning Method for Plug-In Hybrid Electric Vehicle in Real World

Yuanjian Zhang, Liang Chu, Zicheng Fu, Nan Xu, Chong Guo, Yukuan Li, Zhouhuan Chen, Hanwen Sun, Qin Bai and Yang Ou
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Yuanjian Zhang: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Liang Chu: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Zicheng Fu: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Nan Xu: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Chong Guo: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Yukuan Li: State Key Laboratory of Automotive Dynamic Simulation and Control, Jilin University, Changchun 130022, China
Zhouhuan Chen: China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122, China
Hanwen Sun: China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122, China
Qin Bai: China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122, China
Yang Ou: China Automotive Engineering Research Institute Co., Ltd, Chongqing 401122, China

Energies, 2017, vol. 10, issue 11, 1-23

Abstract: Relieving the adverse effects of automobiles on the environment and natural resources has drawn the attention of numerous researchers. This paper seeks a new path to reach a target by focusing on the synergy of the vehicle and the environment. A real-time economical route planning method for a plug-in hybrid electric vehicle (PHEV) is proposed. Three main contributions have been made. Firstly, a real comparison test is performed to provide rudimentary understanding of the difference in energy usage and route planning between PHEVs and conventional vehicles. Secondly, an approach to obtain PHEV customized data is developed for road weight calculation, which is the essential step in route planning. This method incorporates traffic data from conventional vehicles with the PHEV simulation model, obtaining the required data. Thirdly, the travel expense estimation model (TEEM) is designed. The TEEM could be applied to calculate the road weight of each road segment considering the impact on energy consumption with respect to environmental factors, providing the grounds for route planning. The proposed method to plan an economical route is evaluated, and the results justify its validation and ability to improve fuel economy.

Keywords: route planning; plug-in hybrid electric vehicle; travel expense estimation model; road weight calculation (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: 2017
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