A new lead-acid battery state-of-health evaluation method using electrochemical impedance spectroscopy for second life in rural electrification systems

被引:10
|
作者
Mohsin, Muhammad [1 ]
Picot, Antoine [1 ]
Maussion, Pascal [1 ,2 ]
机构
[1] Univ Toulouse, LAPLACE, Lab Plasma & Convers Energieoulouse INP, Toulouse, France
[2] 2 Rue Charles Camichel, F-31000 Toulouse, France
关键词
Second life lead-acid battery; State-of-health; Rural electrification; Electrochemical impedance spectroscopy; Frugal innovation; SOH ESTIMATION; CHARGE; SPECTRA; MODEL;
D O I
10.1016/j.est.2022.104647
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Providing electricity at an affordable price wherever one lives is still a concern. The use of batteries to store electrical energy is very common practice but can be a weak link in a system due to failures. Re-using old leadacid car batteries discarded from thermal engine vehicles could be a cheap electricity storage solution for remote areas, in line with the principles of frugal innovation. Evaluating the State of Health (SoH) of these batteries is of the utmost importance for the second life of car lead-acid batteries. Some methods exist, such as the two-pulse method or the internal resistance method, but their results are not always reliable. Electrochemical Impedance Spectroscopy is another classical technique; however, a reliable formula is still required to link the SoH and EIS with unknown battery history. A new and original way to determine the SoH from EIS is detailed in this work. Old and new batteries are used for experimental prediction at different states of charge. A small average prediction error is found for 56 different configurations. The newly proposed method is named "CdS based method". Results from this method, are compared to results from existing methods and improvement is clear.
引用
收藏
页数:10
相关论文
共 39 条
  • [31] Model-based state of health estimation of a lead-acid battery using step-response and emulated in-situ vehicle data
    Sadabadi, Kaveh Khodadadi
    Ramesh, Prashanth
    Tulpule, Punit
    Guezennec, Yann
    Rizzoni, Giorgio
    JOURNAL OF ENERGY STORAGE, 2021, 36
  • [32] State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method
    Gou, Bin
    Xu, Yan
    Feng, Xue
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (10) : 10854 - 10867
  • [33] Accelerated state of health estimation of second life lithium-ion batteries via electrochemical impedance spectroscopy tests and machine learning techniques
    Faraji-Niri, Mona
    Rashid, Muhammad
    Sansom, Jonathan
    Sheikh, Muhammad
    Widanage, Dhammika
    Marco, James
    JOURNAL OF ENERGY STORAGE, 2023, 58
  • [34] EVALUATION OF NEW TECHNOLOGIES AND POSSIBILITIES FOR THE FUTURE OF THE LEAD-ACID BATTERY USING TECHNOLOGY READINESS LEVEL (TRL) AND MANUFACTURING READINESS LEVEL (MRL) METHODOLOGIES
    Assuncao, Ary L. C.
    Goncalves, Emerson S.
    Gandara, Meriene
    Gaino, Thais C.
    PROCEEDINGS OF 11TH INTERNATIONAL CONFERENCE ON LEAD-ACID BATTERIES (LABAT'2021), 2021, : 195 - 196
  • [35] A hybrid intelligent model using the distribution of relaxation time analysis of electrochemical impedance spectroscopy for lithium-ion battery state of health estimation
    Zhao, Xiaoyu
    Liu, Shiyu
    Li, Eric
    Wang, Zuolu
    Gu, Fengshou
    Ball, Andrew D.
    JOURNAL OF ENERGY STORAGE, 2024, 84
  • [36] Laser Ablation Inductive Coupled Plasma Mass Spectroscopy (LA-ICP-MS) Analysis on Lead-Acid Battery System: Development of Evaluation Method of Sub-ppm Metal Impurity Elements
    Bong, Sungyool
    Azhari, Luqman
    Wang, Yan
    JOURNAL OF SUSTAINABLE METALLURGY, 2021, 7 (02) : 610 - 619
  • [37] Laser Ablation Inductive Coupled Plasma Mass Spectroscopy (LA-ICP-MS) Analysis on Lead-Acid Battery System: Development of Evaluation Method of Sub-ppm Metal Impurity Elements
    Sungyool Bong
    Luqman Azhari
    Yan Wang
    Journal of Sustainable Metallurgy, 2021, 7 : 610 - 619
  • [38] Critical Review on Improved Electrochemical Impedance Spectroscopy-cuckoo Search-Elman Neural Network Modeling Methods for Whole-life-cycle Health State Estimation of Lithium-ion Battery Energy Storage Systems
    Xiong, Ran
    Wang, Shunli
    Takyi-Aninakwa, Paul
    Jin, Siyu
    Fernandez, Carlos
    Huang, Qi
    Hu, Weihao
    Zhan, Wei
    PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 9 (02) : 75 - 100
  • [39] Analysis of effect of physical parameters on the performance of lead acid battery as efficient storage unit in power systems using new finite-element-method-based model
    Rajamand, Sahbasadat
    JOURNAL OF ENERGY STORAGE, 2022, 47