On-line self-learning time forward voltage prognosis for lithium-ion batteries using adaptive neuro-fuzzy inference system-Reference-Cited by-同舟云学术

On-line self-learning time forward voltage prognosis for lithium-ion batteries using adaptive neuro-fuzzy inference system

Published:2013-12 Issue: Volume:243 Page:728-749
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Fleischer Christian,Waag Wladislaw,Bai Ziou,Sauer Dirk Uwe

Publisher

Elsevier BV

Subject

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

Reference39 articles.

1. Energiemanagement und Bordnetze 2;Bohlen,2007

2. Adaptive Method for Determining the Power That Can be Maximally Outputted or Absorbed by a Battery;Weber,2011

3. 22nd Electric Vehicle Symposium (EVS22), Yokohama, Japan;Bohlen,2006

4. Method of Estimating Maximum Output of Battery for Hybrid Electric Vehicle;Kim,2009

5. Method for Calculating Power Capability of Battery Packs Using Advanced Cell Model Predictive Techniques;Plett,2006

Cited by 38 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. Improving the accuracy of voltage estimation in the low charge state range at low temperature: An equivalent circuit model considering the influence of temperature on solid phase diffusion process;Journal of Energy Storage;2024-05

2. Mathematical modelling of electrochemical, thermal and degradation processes in lithium-ion cells—A comprehensive review;Renewable and Sustainable Energy Reviews;2024-03

3. A comparative analysis of predictive models for estimating the formability of stamped titanium bipolar plates for proton exchange membrane fuel cells;International Journal of Hydrogen Energy;2024-02

4. Modelling Li-ion batteries using equivalent circuits for renewable energy applications;Energy Reports;2023-12

5. A Data-Driven Online SOP Estimation Method for Lithium-ion Capacitors;2023 5th Asia Energy and Electrical Engineering Symposium (AEEES);2023-03-23