Computational Challenges and Approaches for Electric Vehicles

被引:14
作者
Kalakanti, Arun Kumar [1 ]
Rao, Shrisha [2 ]
机构
[1] Toshiba Software India Pvt Ltd, Bengaluru 560034, Karnataka, India
[2] Int Inst Informat Technol Bangalore, Elect City, Bengaluru 560100, India
关键词
Electric vehicles; charging station; electric vehicle routing problem; electric vehicle charge scheduling; charging station planning; charging station placement; charging station size; energy or load management; LOCATION-ROUTING PROBLEM; EV CHARGING MANAGEMENT; UNIT COMMITMENT; SWARM OPTIMIZATION; TIME WINDOWS; DIFFERENTIAL EVOLUTION; PERFORMANCE EVALUATION; ENERGY MANAGEMENT; EXACT ALGORITHMS; STATION;
D O I
10.1145/3582076
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Researchers worldwide have become increasingly interested in developing computational approaches to handle challenges facing electric vehicles (EVs) in recent years. This article examines the challenges and future potential of computational approaches for problems such as EV routing, EV charging scheduling (EVCS), EV charging station (CS) placement, CS sizing, and energy or load management. In addition, a summary of the fundamental mathematical models employed to solve the EV computational problems is presented. We cover recent work on computational solutions for various EV problems utilizing single and coupled mathematical models. Finally, we also examine potential research avenues that researchers could pursue to realize the objective of environment-friendly transportation and smart grids (SGs).
引用
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页数:35
相关论文
共 196 条
[1]   Reinforcement Learning Based EV Charging Management Systems-A Review [J].
Abdullah, Heba M. ;
Gastli, Adel ;
Ben-Brahim, Lazhar .
IEEE ACCESS, 2021, 9 :41506-41531
[2]   Impact of dynamic energy pricing schemes on a novel multi-user home energy management system [J].
Abushnaf, Jamal ;
Rassau, Alexander ;
Gornisiewicz, Wlodzimierz .
ELECTRIC POWER SYSTEMS RESEARCH, 2015, 125 :124-132
[3]   Electric Vehicle Routing Problem with industry constraints: trends and insights for future research [J].
Afroditi, Anagnostopoulou ;
Boile, Maria ;
Theofanis, Sotirios ;
Sdoukopoulos, Eleftherios ;
Margaritis, Dimitrios .
17TH MEETING OF THE EURO WORKING GROUP ON TRANSPORTATION, EWGT2014, 2014, 3 :452-459
[4]   A Literature Review on Mobile Charging Station Technology for Electric Vehicles [J].
Afshar, Shahab ;
Macedo, Pablo ;
Mohamed, Farog ;
Disfani, Vahid .
2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2020, :1184-1190
[5]   Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management [J].
Aghajani, G. R. ;
Shayanfar, H. A. ;
Shayeghi, H. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :308-321
[6]   An enhanced approach to optimally place the solar powered electric vehicle charging station in distribution network [J].
Ahmad, Furkan ;
Khalid, Mohd ;
Panigrahi, Bijaya Ketan .
JOURNAL OF ENERGY STORAGE, 2021, 42
[7]   Optimal Locating of Electric Vehicle Charging Stations by Application of Genetic Algorithm [J].
Akbari, Milad ;
Brenna, Morris ;
Longo, Michela .
SUSTAINABILITY, 2018, 10 (04)
[8]  
Aldahdooh Raed T., 2013, International Journal of Intelligent Systems and Applications, V5, P41, DOI 10.5815/ijisa.2013.02.05
[9]   Symmetry issues in mixed integer programming based Unit Commitment [J].
Alemany, J. ;
Magnago, F. ;
Moitre, D. ;
Pinto, H. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 54 :86-90
[10]   Online EV Charging Scheduling With On-Arrival Commitment [J].
Alinia, Bahram ;
Hajiesmaili, Mohammad H. ;
Crespi, Noel .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (12) :4524-4537