Next Article in Journal
Modeling and Technical-Economic Analysis of a Hydrogen Transport Network for France
Next Article in Special Issue
User Cost Minimization and Load Balancing for Multiple Electric Vehicle Charging Stations Based on Deep Reinforcement Learning
Previous Article in Journal
Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques
Previous Article in Special Issue
Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric Vehicles
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
WEVJ
Volume 16
Issue 2
10.3390/wevj16020108
wevj-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Relocation Optimization for Shared Electric Vehicles: A Literature Review

by
Ye Zou
1,
Qian Yu
1,*,
Dongming Jiang
2 and
Youjun Deng
3
1
College of Business Administration, Hunan University of Finance and Economics, Changsha 410205, China
2
College of Accounting, Guangzhou College of Technology and Business, Guangzhou 510850, China
3
School of Electrical and Information Engineering, Southwest Petroleum University, Chengdu 610500, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2025, 16(2), 108; https://doi.org/10.3390/wevj16020108
Submission received: 25 January 2025 / Revised: 11 February 2025 / Accepted: 15 February 2025 / Published: 18 February 2025
(This article belongs to the Special Issue Electric Vehicles in Smart Grids: Integration, Optimization, and Sustainability)
Browse Figures
Versions Notes

Abstract

Car sharing has become an increasingly popular mode of travel. This paper provides a comprehensive literature survey on relocation optimization for shared electric vehicles. The literature is reviewed and categorized based on two types of relocation: static and dynamic relocation. Static relocation is analyzed in terms of operator-based relocation and user-based relocation, while dynamic relocation is analyzed in terms of four methodologies: optimization models, simulations, multi-stage methods, and deep reinforcement learning. The paper finally provides some interesting future research topics, such as considering the nonlinear charging process of electric vehicles in the process of constructing relocation optimization models and designing algorithms for shared electric vehicles.
Keywords: relocation; shared electric vehicles; optimization; review relocation; shared electric vehicles; optimization; review

Share and Cite

MDPI and ACS Style

Zou, Y.; Yu, Q.; Jiang, D.; Deng, Y. Relocation Optimization for Shared Electric Vehicles: A Literature Review. World Electr. Veh. J. 2025, 16, 108. https://doi.org/10.3390/wevj16020108

AMA Style

Zou Y, Yu Q, Jiang D, Deng Y. Relocation Optimization for Shared Electric Vehicles: A Literature Review. World Electric Vehicle Journal. 2025; 16(2):108. https://doi.org/10.3390/wevj16020108

Chicago/Turabian Style

Zou, Ye, Qian Yu, Dongming Jiang, and Youjun Deng. 2025. "Relocation Optimization for Shared Electric Vehicles: A Literature Review" World Electric Vehicle Journal 16, no. 2: 108. https://doi.org/10.3390/wevj16020108

APA Style

Zou, Y., Yu, Q., Jiang, D., & Deng, Y. (2025). Relocation Optimization for Shared Electric Vehicles: A Literature Review. World Electric Vehicle Journal, 16(2), 108. https://doi.org/10.3390/wevj16020108

Article Metrics

Back to TopTop