A hybrid framework for remaining driving range prediction of electric taxis-Reference-Cited by-同舟云学术

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A hybrid framework for remaining driving range prediction of electric taxis

Published:2024-07 Issue: Volume:67 Page:103832
ISSN:2213-1388
Container-title:Sustainable Energy Technologies and Assessments
language:en
Short-container-title:Sustainable Energy Technologies and Assessments

Author:

Wang Ning,Lyu Yelin^ORCID,Zhou Yongjia,Luan Jie,Li Yuan,Zheng Chaojun

Publisher

Elsevier BV

Reference35 articles.

1. Remaining driving range prediction for electric vehicles: Key challenges and outlook;Mei;IET Control Theory Appl,2023

2. Method for predicting the remaining mileage of electric vehicles based on dimension expansion and model fusion;Tian;IET Intel Transport Syst,2022

3. China’s battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs;He;Green Energy Intell Transp,2022

4. Key technologies for electric vehicles;Xiong;Green Energy Intell Transp,2022

5. Optimal location of wireless charging facilities for electric vehicles: Flow-capturing location model with stochastic user equilibrium;Riemann;Transp Res Part C Emerg Technol,2015

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