Capacity detection of electric vehicle lithium-ion batteries based on X-ray computed tomography-Reference-Cited by-同舟云学术

Capacity detection of electric vehicle lithium-ion batteries based on X-ray computed tomography

Published:2018 Issue:45 Volume:8 Page:25325-25333
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Li Lifu¹²³⁴,Hou Junwei¹²³⁴^ORCID

Affiliation:

1. School of Mechanical and Automotive Engineering

2. South China University of Technology

3. Guangzhou 510640

4. China

Abstract

It is difficult to use conventional capacity detection methods to determine nondestructively and rapidly the capacity of lithium-ion (Li-ion) batteries used in electric vehicles.

Funder

Guangdong Science and Technology Department

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/RA/C8RA04516J

Reference48 articles.

1. Homogeneous CoO on Graphene for Binder-Free and Ultralong-Life Lithium Ion Batteries

2. Facile and Low-Cost Synthesis of Large-Area Pure V2O5 Nanosheets for High-Capacity and High-Rate Lithium Storage over a Wide Temperature Range

3. Three-dimensionally ordered macroporous FeF3 and its in situ homogenous polymerization coating for high energy and power density lithium ion batteries

4. Aging Mechanisms of LiFePO[sub 4] Batteries Deduced by Electrochemical and Structural Analyses

5. Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles

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