Economic implications of lithium ion battery degradation for Vehicle-to-Grid (V2X) services-Reference-Cited by-同舟云学术

Economic implications of lithium ion battery degradation for Vehicle-to-Grid (V2X) services

Published:2018-08 Issue: Volume:396 Page:691-709
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Thompson Andrew W.^ORCID

Funder

Insitut VEDECOM

French Public-Private research institute

Institutes for the Energy Transition

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference112 articles.

1. Beyond One Million Electric Cars, 2016;International Energy Agency, Global EV Outlook,2016

2. Two Million and Counting, 2017;International Energy Agency, Global EV Outlook,2017

3. Adoption of the Paris Agreement;UNFCCC Conference of the Parties,2015

4. Transport energy and CO2: moving towards sustainability;International Energy Agency;International Energy Agency (IEA), Paris,2009

5. Here's how electric cars will cause the next oil crisis;Bloomberg New Energy Finance (BNEF);BNEF,2016

Cited by 105 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal intervention policy of emergency storage batteries for expressway transportation systems considering deterioration risk during lead time of replacement;Reliability Engineering & System Safety;2024-02

2. Feasibility and Challenges for Vehicle-to-Grid in Electricity Market: A Review;Energies;2024-01-31

3. A review on challenges concerning thermal management system design for medium duty electric vehicles;Applied Thermal Engineering;2024-01

4. Vehicle-to-everything (V2X) in the autonomous vehicles domain – A technical review of communication, sensor, and AI technologies for road user safety;Transportation Research Interdisciplinary Perspectives;2024-01

5. Electrification and hydrogenation in integrated building-transportation systems for sustainability;Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems;2024