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Article

Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review

1
School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China
2
Research and Development Center, Hangzhou Jiahe Electric Co., Ltd., Hangzhou 310053, China
3
School of Traffic Engineering, Shandong Jiaotong Vocational College, Taian 271099, China
4
Office of Educational Administration, Shandong Jiaotong University, Jinan 250357, China
*
Author to whom correspondence should be addressed.
Electrochem 2022, 3(4), 688-698; https://doi.org/10.3390/electrochem3040045
Submission received: 18 July 2022 / Revised: 24 August 2022 / Accepted: 23 September 2022 / Published: 11 October 2022
(This article belongs to the Special Issue Advances in Electrochemical Energy Storage Systems)

Abstract

Electrochemical energy storage technology has the characteristics of convenient use, fast response, and flexible configuration. At present, the energy storage technology used in smart electric vehicles is mainly electrochemical energy storage technology. In particular, the promotion of electrochemical energy storage technology in the field of smart electric vehicles is an effective way to achieve the goal of carbon neutrality. One of the most critical issues limiting the development and popularity of intelligent electric vehicles is the performance and range of power batteries; vehicle path planning is very important to the performance of power batteries and the driving range. Improved path planning algorithms can obviously shorten the path length and reduce the time of searching and planning a path under the condition of the same starting point and end point, that is, to increase the range of the power battery. On the premise of the comprehensive analysis of the intelligent electric vehicle’s grasp of environmental information, trajectory planning methods are divided into local trajectory planning and global trajectory planning methods. The main content of the trajectory planning method is given, the key technologies involved in the research are discussed, and its advantages and disadvantages are analyzed. Finally, the main development trends of intelligent electric vehicle trajectory planning technology in the future are proposed.
Keywords: electrochemical; battery; trajectory planning; global trajectory planning; local trajectory planning electrochemical; battery; trajectory planning; global trajectory planning; local trajectory planning

Share and Cite

MDPI and ACS Style

Li, A.; Jiang, Y.; Sun, X.; Chi, H.; Niu, C.; Liu, G. Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review. Electrochem 2022, 3, 688-698. https://doi.org/10.3390/electrochem3040045

AMA Style

Li A, Jiang Y, Sun X, Chi H, Niu C, Liu G. Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review. Electrochem. 2022; 3(4):688-698. https://doi.org/10.3390/electrochem3040045

Chicago/Turabian Style

Li, Aijuan, Yuanshuai Jiang, Xinnian Sun, Huajun Chi, Chuanhu Niu, and Gang Liu. 2022. "Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review" Electrochem 3, no. 4: 688-698. https://doi.org/10.3390/electrochem3040045

APA Style

Li, A., Jiang, Y., Sun, X., Chi, H., Niu, C., & Liu, G. (2022). Research Status of Intelligent Electric Vehicle Trajectory Planning and Its Key Technologies: A Review. Electrochem, 3(4), 688-698. https://doi.org/10.3390/electrochem3040045

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