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Energy Efficient Routing for Electric Vehicles using Particle Swarm Optimization
Technical Paper
2014-01-1815
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Growing concerns about the environment, energy dependency, and unstable fuel prices have increased the market share of electric vehicles. This has led to an increased demand for energy efficient routing algorithms that are optimized for electric vehicles. Traditional routing algorithms are focused on finding the shortest distance or the least time route between two points. These approaches have been working well for fossil fueled vehicles. Electric vehicles, on the other hand, require different route optimization techniques. Negative edge costs, battery power and capacity limits, as well as vehicle parameters that are only available at query time, make the task of electric vehicle routing a challenging problem. In this paper, we present a simulated solution to the energy efficient routing for electric vehicles using Particle Swarm Optimization. Simulation results show improvements in the energy consumption of the electric vehicle when applied to a start-to-destination routing problem.
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Citation
Abousleiman, R. and Rawashdeh, O., "Energy Efficient Routing for Electric Vehicles using Particle Swarm Optimization," SAE Technical Paper 2014-01-1815, 2014, https://doi.org/10.4271/2014-01-1815.Also In
References
- Sachenbacher M. , Leucker M. , Artmeier A. , and Haselmayr J. Efficient energy-optimal routing for electric vehicles Twenty-Fifth AAAI Conference on Artificial Intelligence 2011
- Abousleiman , R. , Al-Refai , A. , and Rawashdeh , O. Charge Capacity Versus Charge Time in CC-CV and Pulse Charging of Li-Ion Batteries SAE Technical Paper 2013-01-1546 2013 10.4271/2013-01-1546
- Kennedy James , and Eberhart Russell Particle swarm optimization Neural Networks, 1995. Proceedings, IEEE International Conference on 4 IEEE 1995
- Shi , Yuhui Particle swarm optimization: developments, applications and resources Evolutionary Computation, 2001. Proceedings of the 2001 Congress on 1 IEEE 2001
- Wang Zhengchu ; Zhou Muxun ; Li Jun ; Fan Jian Research in capacitated vehicle routing problem based on modified hybrid particle swarm optimization Intelligent Computing and Intelligent Systems 2009
- Khouadjia , M.R. ; Jourdan , L. ; Talbi , E. Adaptive particle swarm for solving the Dynamic Vehicle Routing Problem Computer Systems and Applications (AICCSA), 2010 IEEE/ACS International Conference on 1 8 16 19 May 2010
- Ye Anxin Study of the vehicle routing problem with time windows based on improved particle swarm optimization algorithm Computer Science and Service System (CSSS), 2011 International Conference on 4053 4057 27 29 June 2011
- Wu Bin ; Wang Wanliang ; Zhao Yanwei ; Xu Xinli ; Yang Fengyu A Novel Real Number Encoding Method of Particle Swarm Optimization for Vehicle Routing Problem Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on 1 3271 3275
- Akhand , M.A.H. ; Akter , S. ; Sazzadur Rahman , S. ; Hafizur Rahman , M.M. Particle Swarm Optimization with partial search to solve Traveling Salesman Problem Computer and Communication Engineering (ICCCE), 2012 International Conference on 118 121 3 5 July 2012
- Lin Dongmei ; Qiu Shenshan ; Wang Dong Particle swarm optimization based on neighborhood encoding for traveling salesman problem Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on 1276 1279 12 15 Oct. 2008
- Gong Yue-Jiao ; Zhang Jun ; Liu Ou ; Huang Rui-Zhang ; Chung , H.S.-H. ; Shi Yu-Hui Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 42 2 254 267 March 2012
- Shakouri G. H. ; Shojaee , K. ; Zahedi , H. An effective particle swarm optimization algorithm embedded in a to solve the traveling salesman problem Control and Decision Conference, 2009. CCDC '09. Chinese 5545 5550 17 19 June 2009
- Song Weitang ; Zhang ShuMei A novel adaptive particle swarm optimization to solve traveling salesman problem Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on 2 459 462 8 9 Aug. 2009
- Abousleiman , R. and Rawashdeh , O. An Application of Ant Colony Optimization to Energy Efficient Routing for Electric Vehicles SAE Technical Paper 2013-01-0337 2013 10.4271/2013-01-0337
- Abousleiman , R. and Rawashdeh , O. Energy Efficient Routing for Electric Vehicles using Ant Colony Optimization Under Review, IEEE Transactions of Vehicular Technology
- Sweda , T.M. ; Klabjan , D. Finding minimum-cost paths for electric vehicles Electric Vehicle Conference (IEVC), 2012 IEEE International 1 4 4 8 March 2012
- Salehinejad , H. ; Pouladi , F. ; Talebi , S. A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach Computational Intelligence for Modeling Control & Automation, 2008 International Conference on 1089 1094 10 12 Dec. 2008
- Siddiqi , Umair Farooq , Shiraishi Yoichi , and Sait Sadiq M. Multi-constrained route optimization for electric vehicles (EVs) using particle swarm optimization (PSO) Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on IEEE 2011
- Ehsani M. , Gao Y. , and Emadi A. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles 2010 CRC Press
- Andrews , Tyler Computation Time Comparison between Matlab and C++ Using Launch Windows 2012