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Extended kalman filter for accurate state of charge estimation of lithium-based batteries: a comparative analysis

  • Published:2017-11 Issue:48 Volume:42 Page:29033-29046
  • ISSN:0360-3199
  • Container-title:International Journal of Hydrogen Energy
  • language:en
  • Short-container-title:International Journal of Hydrogen Energy

Author:

Ramadan H.S.,Becherif M.,Claude F.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference39 articles.

1. Overview of lithium-ion battery SOC estimation;Zhou,2015

2. Battery management system: an overview of its application in the smart grid and electric vehicles;Eichi,2013

3. A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems;Barillas;Appl Energy,2015

4. Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles;He;Energy,2012

5. An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries;Zhang;J Power Sources,2015

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