Efficient Routing and Charging Strategy for Electric Vehicles Considering Battery Life: A Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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Efficient Routing and Charging Strategy for Electric Vehicles Considering Battery Life: A Reinforcement Learning Approach

Published:2024-08-06 Issue: Volume: Page:429-435
ISSN:
Container-title:2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Ebrahimi Dariush¹,Kashefi Seyedmohammad²,Alves de Oliveira Thiago E.²,Alzhouri Fadi³

Affiliation:

1. Wilfrid Laurier University,Dept. of Computer Science,Waterloo,Ontario,Canada

2. Lakehead University,Dept. of Computer Science,Thunder Bay,Ontario,Canada

3. Concordia University,Dept. of Elec. & Computer Eng,Montreal,Quebec,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10667055/10667056/10667251.pdf?arnumber=10667251

Reference12 articles.

1. Future energy: in search of a scenario reflecting current and future pressures and trends

2. Optimized Energy Management Strategy for Hybrid Fuel Cell Powered Drones in Persistent Missions using Real Flight Test Data

3. Fastest Route and Charging Optimization of an Electric Vehicle With Battery's Life Consideration

4. Electric vehicle routing problem with recharging stations for minimizing energy consumption

5. The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations

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