A data-based model for driving distance estimation of battery electric logistics vehicles

A data-based model for driving distance estimation of battery electric logistics vehicles

Abstract Battery electric logistics vehicles (BELVs) reduce transportation costs and air pollution unlike conventional logistics vehicles. However, the limited driving range of BELVs creates new problems for logistics transport. Accurate driving distance estimation of BELVs can help logistics compan...

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Bibliographic Details
Main Authors: Jun Bi, Yongxing Wang, Jiawei Zhang
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Battery electric logistics vehicle
Data-based model
Driving distance estimation
Economical driving speed
Online Access:http://link.springer.com/article/10.1186/s13638-018-1270-7

Internet

http://link.springer.com/article/10.1186/s13638-018-1270-7

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