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Combining physicochemical model with the equivalent circuit model for performance prediction and optimization of lead-acid batteries

  • Published:2020-09 Issue: Volume:353 Page:136567
  • ISSN:0013-4686
  • Container-title:Electrochimica Acta
  • language:en
  • Short-container-title:Electrochimica Acta

Author:

Shi Meihua,Yuan Jingchao,Dong Li,Zhang Dan,Li Aijun,Zhang Jiujun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference35 articles.

1. Automotive Li-ion batteries: current status and future perspectives;Ding;Electrochem. Energy Rev.,2019

2. Electrode materials for sodium-ion batteries: considerations on crystal structures and sodium storage mechanisms;Tianyi;Electrochem. Energy Rev.,2018

3. Lead-acid Battery Technologies: Fundamentals, Materials, and Applications;Joey,2015

4. Lead-acid Batteries: Science and Technology;Pavlov,2017

5. Comparative study of reduced order equivalent circuit models for on-board state-of-available-power prediction of lithium-ion batteries in electric vehicles;Farmann;Appl. Energy,2018

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