Aging performance characterization and state-of-health assessment of retired lithium-ion battery modules
•There is a good linear negative correlation between state of health and resistance.•The maximum peak of incremental capacity curves is a good health factor of modules.•A state of health evaluation method based on average Fréchet discrete is introduced.•The maximum evaluation error is less than 2% b...
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| Published in | Journal of energy storage Vol. 40; p. 102743 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.08.2021
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| Subjects | |
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| Abstract | •There is a good linear negative correlation between state of health and resistance.•The maximum peak of incremental capacity curves is a good health factor of modules.•A state of health evaluation method based on average Fréchet discrete is introduced.•The maximum evaluation error is less than 2% based on average Fréchet discrete.
State of health (SOH) is an important index to evaluate the use value of batteries. The rapid SOH evaluation method for battery modules is a more popular topic in the secondary utilization of retired batteries. This paper explores the aging behavior of a 15P4S battery module in the cycle protocol of 2 C-rate and 50% DOD among 30–80% SOC using electrochemical impedance spectroscopy (EIS), charge/discharge (C/D) curve, incremental capacity analysis (ICA) and average Fréchet distance (AFD). It is found that Rs, Rct and Rf all increase with aging and the sum of Rs and Rf can be used as a health factor for off-line SOH evaluation of battery modules. The height of the characteristic peak near 13.45 V on the ICA curves can quickly evaluate the module SOH. The SOH estimation model based on the AFD method achieves the maximum percentage error of 1.518% for lithium-ion battery modules, suggesting the high accuracy of the fast SOH evaluation model. AFD has a better accuracy on online SOH evaluation for modules than ICA. |
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| AbstractList | •There is a good linear negative correlation between state of health and resistance.•The maximum peak of incremental capacity curves is a good health factor of modules.•A state of health evaluation method based on average Fréchet discrete is introduced.•The maximum evaluation error is less than 2% based on average Fréchet discrete.
State of health (SOH) is an important index to evaluate the use value of batteries. The rapid SOH evaluation method for battery modules is a more popular topic in the secondary utilization of retired batteries. This paper explores the aging behavior of a 15P4S battery module in the cycle protocol of 2 C-rate and 50% DOD among 30–80% SOC using electrochemical impedance spectroscopy (EIS), charge/discharge (C/D) curve, incremental capacity analysis (ICA) and average Fréchet distance (AFD). It is found that Rs, Rct and Rf all increase with aging and the sum of Rs and Rf can be used as a health factor for off-line SOH evaluation of battery modules. The height of the characteristic peak near 13.45 V on the ICA curves can quickly evaluate the module SOH. The SOH estimation model based on the AFD method achieves the maximum percentage error of 1.518% for lithium-ion battery modules, suggesting the high accuracy of the fast SOH evaluation model. AFD has a better accuracy on online SOH evaluation for modules than ICA. |
| ArticleNumber | 102743 |
| Author | Liao, Qiangqiang Li, Xinzhou Du, Zhichao Zhang, Qichao |
| Author_xml | – sequence: 1 givenname: Qichao surname: Zhang fullname: Zhang, Qichao organization: Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai Engineering Research Center of Electric Energy Conversion, Shanghai University of Electric Power, Shanghai 200090, China – sequence: 2 givenname: Xinzhou surname: Li fullname: Li, Xinzhou organization: Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai Engineering Research Center of Electric Energy Conversion, Shanghai University of Electric Power, Shanghai 200090, China – sequence: 3 givenname: Zhichao surname: Du fullname: Du, Zhichao organization: Shanghai Electric Distributed Energy Technology Co., Ltd., Shanghai 201199, China – sequence: 4 givenname: Qiangqiang surname: Liao fullname: Liao, Qiangqiang email: liaoqiangqiang@shiep.edu.cn organization: Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai Engineering Research Center of Electric Energy Conversion, Shanghai University of Electric Power, Shanghai 200090, China |
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| Cites_doi | 10.1016/j.eswa.2011.03.063 10.1016/j.energy.2013.11.061 10.1016/j.energy.2018.03.023 10.1109/TEC.2012.2223700 10.1016/j.jpowsour.2013.11.029 10.1016/j.jpowsour.2011.10.013 10.1016/j.jpowsour.2015.06.090 10.1109/TSMCC.2010.2089979 10.1016/j.energy.2020.118000 10.1016/j.rser.2018.04.035 10.1016/j.ijepes.2018.12.016 10.1109/TIA.2016.2593425 10.3390/en9121025 10.1016/j.energy.2017.06.141 10.1016/j.conengprac.2009.05.002 10.1016/j.jclepro.2018.09.149 10.1016/j.jpowsour.2014.01.057 10.1016/j.comgeo.2017.01.002 10.1109/TPEL.2009.2034966 10.1016/j.jpowsour.2010.12.102 10.1109/TTE.2020.2983846 10.1016/j.jpowsour.2012.12.120 10.1109/TIE.2014.2341598 10.1016/j.microrel.2017.06.010 10.1109/TVT.2011.2160378 10.1016/j.ijhydene.2017.06.043 10.1002/er.5083 10.1016/j.jpowsour.2015.12.122 10.1016/j.jpowsour.2017.10.092 10.1016/j.jpowsour.2010.07.071 10.1109/TPEL.2011.2158554 10.1016/j.ijepes.2014.04.059 10.1016/j.jpowsour.2017.06.007 10.1049/iet-rpg.2016.0500 10.1016/j.jpowsour.2013.01.018 |
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| Keywords | SOH estimation Average Fréchet distance Incremental capacity analysis Retired battery modules Electrochemical impedance spectroscopy |
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| References | Marcicki, Canova, Conlisk, Rizzoni (bib0012) 2013; 237 Kim, Lee, Cho (bib0029) 2012; 27 He, Williard, Chen, Pecht (bib0001) 2014; 62 Andre, Meiler, Steiner, Walz, Soczka-Guth, Sauer (bib0018) 2011; 196 Hu, Li, Jia, Bo (bib0027) 2014; 64 Widodo, Shim, Caesarendra, Yang (bib0026) 2011; 38 Jiang, Jiang, Zhang, Zhang, Gao, Li (bib0020) 2018; 205 Li, Zhang, Liu, Pan, Liao, Yang (bib0019) 2019; 44 Li, Choe, Joe (bib0011) 2015; 294 Liao, Mu, Zhao, Zhang, Jiang, Ye, Shen, Zhou (bib0015) 2017; 42 Li, Abdel-Monem, Gopalakrishnan, Berecibar, Nanini-Maury, Omar, van den Bossche, Van Mierlo (bib0022) 2018; 373 Pattipati, Sankavaram, Pattipati (bib0014) 2011; 41 Zheng, Zhu, Lu, Wang, He (bib0023) 2018; 150 Kim (bib0028) 2010; 25 Martinez-Laserna, Gandiaga, Sarasketa-Zabala, Badeda, Stroe, Swierczynski, Goikoetxea (bib0003) 2018; 93 Merla, Wu, Yufit, Brandon, Martinez-Botas, Offer (bib0025) 2016; 307 Han, Ouyang, Lu, Li, Zheng, Zhe (bib0038) 2014; 251 Feng, Li, Ouyang, Lu, Li, He (bib0034) 2013; 232 Ranieri, Alberto, Piret, Cattin (bib0030) 2017; 79 Semanjski, Gautama (bib0008) 2016; 9 Liu, Wang, Chen, Wang, Lin, Wang (bib0009) 2013; 28 Hu, Yurkovich, Guezennec, Yurkovich (bib0013) 2009; 17 Saez-de-Ibarra, Martinez-Laserna, Stroe, Swierczynski, Rodriguez (bib0005) 2016; 52 Mukherjee, Strickland (bib0004) 2015; 62 Hu, Li, Peng (bib0016) 2012; 198 Seaman, Dao, Mcphee (bib0010) 2014; 256 Deng, Hu, Lin, Che, Xu, Guo (bib0031) 2020; 205 Buchin, Ophelders, Speckmann (bib0037) 2018; 73 Goh, Park, Seo, Kim, Kim (bib0024) 2017; 135 Deng, Hu, Lin, Xu, Che, Hu (bib0035) 2020; 3040010 Andre, Meiler, Steiner, Wirnmer, Soczka-Guth, Sauer (bib0017) 2011; 196 Locorotondo, Cultrera, Pugi, Berzi, Pasquali, Andrenacci, Lutzemberger, Pierini (bib0033) 2020 Jiang, Jiang, Zhang, Zhang, Gao, Guo (bib0021) 2017; 360 Jing, Lai, Wong, Wong (bib0007) 2017; 11 Serni, Locorotondo, Pugi, Berzi, Pierini, Cultrera (bib0032) 2020 Saxena, Xing, Kwon, Pecht (bib0002) 2019; 107 Viswanathan, Kintner-Meyer (bib0006) 2011; 60 Feng, Hu, Liu, Che, Lin, Jin, Liu (bib0036) 2020; 6 Marcicki (10.1016/j.est.2021.102743_bib0012) 2013; 237 Li (10.1016/j.est.2021.102743_bib0019) 2019; 44 Goh (10.1016/j.est.2021.102743_bib0024) 2017; 135 Merla (10.1016/j.est.2021.102743_bib0025) 2016; 307 Feng (10.1016/j.est.2021.102743_bib0034) 2013; 232 Andre (10.1016/j.est.2021.102743_bib0018) 2011; 196 Jiang (10.1016/j.est.2021.102743_bib0021) 2017; 360 Ranieri (10.1016/j.est.2021.102743_bib0030) 2017; 79 Hu (10.1016/j.est.2021.102743_bib0027) 2014; 64 Mukherjee (10.1016/j.est.2021.102743_bib0004) 2015; 62 Han (10.1016/j.est.2021.102743_bib0038) 2014; 251 Andre (10.1016/j.est.2021.102743_bib0017) 2011; 196 Pattipati (10.1016/j.est.2021.102743_bib0014) 2011; 41 Jiang (10.1016/j.est.2021.102743_bib0020) 2018; 205 Locorotondo (10.1016/j.est.2021.102743_bib0033) 2020 Hu (10.1016/j.est.2021.102743_bib0013) 2009; 17 Li (10.1016/j.est.2021.102743_bib0011) 2015; 294 Deng (10.1016/j.est.2021.102743_bib0031) 2020; 205 Martinez-Laserna (10.1016/j.est.2021.102743_bib0003) 2018; 93 Viswanathan (10.1016/j.est.2021.102743_bib0006) 2011; 60 Hu (10.1016/j.est.2021.102743_bib0016) 2012; 198 Liu (10.1016/j.est.2021.102743_bib0009) 2013; 28 Semanjski (10.1016/j.est.2021.102743_bib0008) 2016; 9 Seaman (10.1016/j.est.2021.102743_bib0010) 2014; 256 Buchin (10.1016/j.est.2021.102743_bib0037) 2018; 73 Saxena (10.1016/j.est.2021.102743_bib0002) 2019; 107 Widodo (10.1016/j.est.2021.102743_bib0026) 2011; 38 Li (10.1016/j.est.2021.102743_bib0022) 2018; 373 Jing (10.1016/j.est.2021.102743_bib0007) 2017; 11 Kim (10.1016/j.est.2021.102743_bib0029) 2012; 27 Zheng (10.1016/j.est.2021.102743_bib0023) 2018; 150 Liao (10.1016/j.est.2021.102743_bib0015) 2017; 42 He (10.1016/j.est.2021.102743_bib0001) 2014; 62 Feng (10.1016/j.est.2021.102743_bib0036) 2020; 6 Kim (10.1016/j.est.2021.102743_bib0028) 2010; 25 Deng (10.1016/j.est.2021.102743_bib0035) 2020; 3040010 Serni (10.1016/j.est.2021.102743_bib0032) 2020 Saez-de-Ibarra (10.1016/j.est.2021.102743_bib0005) 2016; 52 |
| References_xml | – volume: 198 start-page: 359 year: 2012 end-page: 367 ident: bib0016 article-title: A comparative study of equivalent circuit models for Li-ion batteries publication-title: J. Power Sources contributor: fullname: Peng – volume: 27 start-page: 436 year: 2012 end-page: 451 ident: bib0029 article-title: Complementary cooperation algorithm based on DEKF combined with pattern recognition for SOC/capacity estimation and SOH prediction publication-title: IEEE Trans. Power Electron. contributor: fullname: Cho – volume: 251 start-page: 38 year: 2014 end-page: 54 ident: bib0038 article-title: A comparative study of commercial lithium-ion battery cycle life in electrical vehicle: aging mechanism identification publication-title: J. Power Sources contributor: fullname: Zhe – volume: 60 start-page: 2963 year: 2011 end-page: 2970 ident: bib0006 article-title: Second use of transportation batteries: maximizing the value of batteries for transportation and grid services publication-title: IEEE Trans. Veh. Technol. contributor: fullname: Kintner-Meyer – volume: 3040010 year: 2020 ident: bib0035 article-title: General discharge voltage information enabled health evaluation for lithium-Ion batteries publication-title: IEEE/ASME Trans. Mechatron. contributor: fullname: Hu – volume: 93 start-page: 701 year: 2018 end-page: 718 ident: bib0003 article-title: Battery second life: hype, hope or reality? A critical review of the state of the art publication-title: Renew. Sustain. Energy Rev. contributor: fullname: Goikoetxea – volume: 360 start-page: 180 year: 2017 end-page: 188 ident: bib0021 article-title: Recognition of battery aging variations for LiFePO publication-title: J. Power Sources contributor: fullname: Guo – volume: 38 start-page: 11763 year: 2011 end-page: 11769 ident: bib0026 article-title: Intelligent prognostics for battery health monitoring based on sample entropy publication-title: Expert Syst. Appl. contributor: fullname: Yang – volume: 256 start-page: 410 year: 2014 end-page: 423 ident: bib0010 article-title: A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation publication-title: J. Power Sources contributor: fullname: Mcphee – volume: 196 start-page: 5334 year: 2011 end-page: 5341 ident: bib0017 article-title: Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation publication-title: J. Power Sources contributor: fullname: Sauer – volume: 9 start-page: 1025 year: 2016 ident: bib0008 article-title: Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices publication-title: Energies contributor: fullname: Gautama – year: 2020 ident: bib0032 article-title: A low cost programmable hardware for online spectroscopy of lithium batteries publication-title: 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON). 9140641 contributor: fullname: Cultrera – volume: 307 start-page: 308 year: 2016 end-page: 319 ident: bib0025 article-title: Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries publication-title: J. Power Sources contributor: fullname: Offer – volume: 232 start-page: 209 year: 2013 end-page: 218 ident: bib0034 article-title: Using probability density function to evaluate the state of health of lithium-ion batteries publication-title: J. Power Sources contributor: fullname: He – volume: 62 start-page: 1034 year: 2015 end-page: 1046 ident: bib0004 article-title: Control of second life hybrid battery energy storage system based on modular boost-multilevel buck converter publication-title: IEEE Trans. Ind. Electron. contributor: fullname: Strickland – volume: 373 start-page: 40 year: 2018 end-page: 53 ident: bib0022 article-title: A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter publication-title: J. Power Sources contributor: fullname: Van Mierlo – volume: 28 start-page: 12 year: 2013 end-page: 23 ident: bib0009 article-title: Integrated system identification and state-of-charge estimation of battery systems publication-title: IEEE Trans. Energy Convers. contributor: fullname: Wang – volume: 6 start-page: 391 year: 2020 end-page: 416 ident: bib0036 article-title: A practical and comprehensive evaluation method for series-connected battery pack models publication-title: IEEE Trans. Transport. Electrific. contributor: fullname: Liu – volume: 17 start-page: 1190 year: 2009 end-page: 1201 ident: bib0013 article-title: A technique for dynamic battery model identification in automotive applications using linear parameter varying structures publication-title: Control Eng. Pract. contributor: fullname: Yurkovich – volume: 79 start-page: 410 year: 2017 end-page: 415 ident: bib0030 article-title: Electronic module for the thermal monitoring of a Li-ion battery cell through the electrochemical impedance estimation publication-title: Microelectron. Reliab. contributor: fullname: Cattin – volume: 73 start-page: 2 year: 2018 end-page: 14 ident: bib0037 article-title: Computing the similarity between moving curves publication-title: Comput. Geom. -Theory Appl. contributor: fullname: Speckmann – volume: 11 start-page: 461 year: 2017 end-page: 469 ident: bib0007 article-title: Battery-supercapacitor hybrid energy storage system in standalone DC microgrids: a Review publication-title: IET Renew. Power Gener. contributor: fullname: Wong – year: 2020 ident: bib0033 article-title: Impedance spectroscopy characterization of lithium batteries with different ages in second life application publication-title: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). 9160616 contributor: fullname: Pierini – volume: 150 start-page: 759 year: 2018 end-page: 769 ident: bib0023 article-title: Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries publication-title: Energy contributor: fullname: He – volume: 237 start-page: 310 year: 2013 end-page: 324 ident: bib0012 article-title: Design and parametrization analysis of a reduced-order electrochemical model of graphite/LiFePO publication-title: J. Power Sources contributor: fullname: Rizzoni – volume: 52 start-page: 4999 year: 2016 end-page: 5008 ident: bib0005 article-title: Sizing study of second life Li-ion batteries for enhancing renewable energy grid integration publication-title: IEEE Trans. Ind. Appl. contributor: fullname: Rodriguez – volume: 41 start-page: 869 year: 2011 end-page: 884 ident: bib0014 article-title: System identification and estimation framework for pivotal automotive battery management system characteristics publication-title: IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. contributor: fullname: Pattipati – volume: 135 start-page: 257 year: 2017 end-page: 268 ident: bib0024 article-title: Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes publication-title: Energy contributor: fullname: Kim – volume: 25 start-page: 1013 year: 2010 end-page: 1022 ident: bib0028 article-title: A technique for estimating the state of health of lithium batteries through a dual-sliding-mode observer publication-title: IEEE Trans. Power Electron. contributor: fullname: Kim – volume: 44 start-page: 2337 year: 2019 end-page: 2344 ident: bib0019 article-title: A fast classification method of retired electric vehicle battery modules and their energy storage application in photovoltaic generation publication-title: Int. J. Energy Res. contributor: fullname: Yang – volume: 64 start-page: 953 year: 2014 end-page: 960 ident: bib0027 article-title: Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles publication-title: Energy contributor: fullname: Bo – volume: 294 start-page: 545 year: 2015 end-page: 555 ident: bib0011 article-title: A reduced order electrochemical and thermal model for a pouch type lithium-ion polymer battery with LiNi publication-title: J. Power Sources contributor: fullname: Joe – volume: 205 year: 2020 ident: bib0031 article-title: Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression publication-title: Energy contributor: fullname: Guo – volume: 62 start-page: 783 year: 2014 end-page: 791 ident: bib0001 article-title: State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation publication-title: Int. J. Electr. Power Energy Syst. contributor: fullname: Pecht – volume: 107 start-page: 438 year: 2019 end-page: 445 ident: bib0002 article-title: Accelerated degradation model for C-rate loading of lithium-ion batteries publication-title: Int. J. Electr. Power Energy Syst. contributor: fullname: Pecht – volume: 42 start-page: 18817 year: 2017 end-page: 18823 ident: bib0015 article-title: Performance assessment and classification of retired lithium-ion battery from electric vehicles for energy storage publication-title: Int. J. Hydrogen Energy contributor: fullname: Zhou – volume: 205 start-page: 754 year: 2018 end-page: 762 ident: bib0020 article-title: State of health estimation of second-life LiFePO publication-title: J. Clean. Prod. contributor: fullname: Li – volume: 196 start-page: 5349 year: 2011 end-page: 5356 ident: bib0018 article-title: Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: modelling publication-title: J. Power Sources contributor: fullname: Sauer – volume: 38 start-page: 11763 year: 2011 ident: 10.1016/j.est.2021.102743_bib0026 article-title: Intelligent prognostics for battery health monitoring based on sample entropy publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2011.03.063 contributor: fullname: Widodo – volume: 64 start-page: 953 year: 2014 ident: 10.1016/j.est.2021.102743_bib0027 article-title: Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles publication-title: Energy doi: 10.1016/j.energy.2013.11.061 contributor: fullname: Hu – volume: 150 start-page: 759 year: 2018 ident: 10.1016/j.est.2021.102743_bib0023 article-title: Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries publication-title: Energy doi: 10.1016/j.energy.2018.03.023 contributor: fullname: Zheng – volume: 28 start-page: 12 year: 2013 ident: 10.1016/j.est.2021.102743_bib0009 article-title: Integrated system identification and state-of-charge estimation of battery systems publication-title: IEEE Trans. Energy Convers. doi: 10.1109/TEC.2012.2223700 contributor: fullname: Liu – volume: 251 start-page: 38 year: 2014 ident: 10.1016/j.est.2021.102743_bib0038 article-title: A comparative study of commercial lithium-ion battery cycle life in electrical vehicle: aging mechanism identification publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2013.11.029 contributor: fullname: Han – volume: 198 start-page: 359 year: 2012 ident: 10.1016/j.est.2021.102743_bib0016 article-title: A comparative study of equivalent circuit models for Li-ion batteries publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2011.10.013 contributor: fullname: Hu – volume: 294 start-page: 545 year: 2015 ident: 10.1016/j.est.2021.102743_bib0011 article-title: A reduced order electrochemical and thermal model for a pouch type lithium-ion polymer battery with LiNixMnyCo1−x−yO2/LiFePO4 blended cathode publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2015.06.090 contributor: fullname: Li – volume: 41 start-page: 869 year: 2011 ident: 10.1016/j.est.2021.102743_bib0014 article-title: System identification and estimation framework for pivotal automotive battery management system characteristics publication-title: IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. doi: 10.1109/TSMCC.2010.2089979 contributor: fullname: Pattipati – volume: 205 year: 2020 ident: 10.1016/j.est.2021.102743_bib0031 article-title: Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression publication-title: Energy doi: 10.1016/j.energy.2020.118000 contributor: fullname: Deng – year: 2020 ident: 10.1016/j.est.2021.102743_bib0033 article-title: Impedance spectroscopy characterization of lithium batteries with different ages in second life application contributor: fullname: Locorotondo – volume: 93 start-page: 701 year: 2018 ident: 10.1016/j.est.2021.102743_bib0003 article-title: Battery second life: hype, hope or reality? A critical review of the state of the art publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2018.04.035 contributor: fullname: Martinez-Laserna – volume: 107 start-page: 438 year: 2019 ident: 10.1016/j.est.2021.102743_bib0002 article-title: Accelerated degradation model for C-rate loading of lithium-ion batteries publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2018.12.016 contributor: fullname: Saxena – volume: 52 start-page: 4999 year: 2016 ident: 10.1016/j.est.2021.102743_bib0005 article-title: Sizing study of second life Li-ion batteries for enhancing renewable energy grid integration publication-title: IEEE Trans. Ind. Appl. doi: 10.1109/TIA.2016.2593425 contributor: fullname: Saez-de-Ibarra – volume: 9 start-page: 1025 year: 2016 ident: 10.1016/j.est.2021.102743_bib0008 article-title: Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices publication-title: Energies doi: 10.3390/en9121025 contributor: fullname: Semanjski – volume: 135 start-page: 257 year: 2017 ident: 10.1016/j.est.2021.102743_bib0024 article-title: Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes publication-title: Energy doi: 10.1016/j.energy.2017.06.141 contributor: fullname: Goh – volume: 17 start-page: 1190 year: 2009 ident: 10.1016/j.est.2021.102743_bib0013 article-title: A technique for dynamic battery model identification in automotive applications using linear parameter varying structures publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2009.05.002 contributor: fullname: Hu – year: 2020 ident: 10.1016/j.est.2021.102743_bib0032 article-title: A low cost programmable hardware for online spectroscopy of lithium batteries contributor: fullname: Serni – volume: 205 start-page: 754 year: 2018 ident: 10.1016/j.est.2021.102743_bib0020 article-title: State of health estimation of second-life LiFePO4 batteries for energy storage applications publication-title: J. Clean. Prod. doi: 10.1016/j.jclepro.2018.09.149 contributor: fullname: Jiang – volume: 256 start-page: 410 year: 2014 ident: 10.1016/j.est.2021.102743_bib0010 article-title: A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2014.01.057 contributor: fullname: Seaman – volume: 73 start-page: 2 year: 2018 ident: 10.1016/j.est.2021.102743_bib0037 article-title: Computing the similarity between moving curves publication-title: Comput. Geom. -Theory Appl. doi: 10.1016/j.comgeo.2017.01.002 contributor: fullname: Buchin – volume: 25 start-page: 1013 year: 2010 ident: 10.1016/j.est.2021.102743_bib0028 article-title: A technique for estimating the state of health of lithium batteries through a dual-sliding-mode observer publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2009.2034966 contributor: fullname: Kim – volume: 196 start-page: 5334 year: 2011 ident: 10.1016/j.est.2021.102743_bib0017 article-title: Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. I. Experimental investigation publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2010.12.102 contributor: fullname: Andre – volume: 6 start-page: 391 year: 2020 ident: 10.1016/j.est.2021.102743_bib0036 article-title: A practical and comprehensive evaluation method for series-connected battery pack models publication-title: IEEE Trans. Transport. Electrific. doi: 10.1109/TTE.2020.2983846 contributor: fullname: Feng – volume: 237 start-page: 310 year: 2013 ident: 10.1016/j.est.2021.102743_bib0012 article-title: Design and parametrization analysis of a reduced-order electrochemical model of graphite/LiFePO4 cells for SOC/SOH estimation publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2012.12.120 contributor: fullname: Marcicki – volume: 62 start-page: 1034 year: 2015 ident: 10.1016/j.est.2021.102743_bib0004 article-title: Control of second life hybrid battery energy storage system based on modular boost-multilevel buck converter publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2014.2341598 contributor: fullname: Mukherjee – volume: 79 start-page: 410 year: 2017 ident: 10.1016/j.est.2021.102743_bib0030 article-title: Electronic module for the thermal monitoring of a Li-ion battery cell through the electrochemical impedance estimation publication-title: Microelectron. Reliab. doi: 10.1016/j.microrel.2017.06.010 contributor: fullname: Ranieri – volume: 60 start-page: 2963 year: 2011 ident: 10.1016/j.est.2021.102743_bib0006 article-title: Second use of transportation batteries: maximizing the value of batteries for transportation and grid services publication-title: IEEE Trans. Veh. Technol. doi: 10.1109/TVT.2011.2160378 contributor: fullname: Viswanathan – volume: 42 start-page: 18817 year: 2017 ident: 10.1016/j.est.2021.102743_bib0015 article-title: Performance assessment and classification of retired lithium-ion battery from electric vehicles for energy storage publication-title: Int. J. Hydrogen Energy doi: 10.1016/j.ijhydene.2017.06.043 contributor: fullname: Liao – volume: 44 start-page: 2337 year: 2019 ident: 10.1016/j.est.2021.102743_bib0019 article-title: A fast classification method of retired electric vehicle battery modules and their energy storage application in photovoltaic generation publication-title: Int. J. Energy Res. doi: 10.1002/er.5083 contributor: fullname: Li – volume: 307 start-page: 308 year: 2016 ident: 10.1016/j.est.2021.102743_bib0025 article-title: Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2015.12.122 contributor: fullname: Merla – volume: 3040010 year: 2020 ident: 10.1016/j.est.2021.102743_bib0035 article-title: General discharge voltage information enabled health evaluation for lithium-Ion batteries publication-title: IEEE/ASME Trans. Mechatron. contributor: fullname: Deng – volume: 373 start-page: 40 year: 2018 ident: 10.1016/j.est.2021.102743_bib0022 article-title: A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2017.10.092 contributor: fullname: Li – volume: 196 start-page: 5349 year: 2011 ident: 10.1016/j.est.2021.102743_bib0018 article-title: Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: modelling publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2010.07.071 contributor: fullname: Andre – volume: 27 start-page: 436 year: 2012 ident: 10.1016/j.est.2021.102743_bib0029 article-title: Complementary cooperation algorithm based on DEKF combined with pattern recognition for SOC/capacity estimation and SOH prediction publication-title: IEEE Trans. Power Electron. doi: 10.1109/TPEL.2011.2158554 contributor: fullname: Kim – volume: 62 start-page: 783 year: 2014 ident: 10.1016/j.est.2021.102743_bib0001 article-title: State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.04.059 contributor: fullname: He – volume: 360 start-page: 180 year: 2017 ident: 10.1016/j.est.2021.102743_bib0021 article-title: Recognition of battery aging variations for LiFePO4 batteries in 2nd use applications combining incremental capacity analysis and statistical approaches publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2017.06.007 contributor: fullname: Jiang – volume: 11 start-page: 461 year: 2017 ident: 10.1016/j.est.2021.102743_bib0007 article-title: Battery-supercapacitor hybrid energy storage system in standalone DC microgrids: a Review publication-title: IET Renew. Power Gener. doi: 10.1049/iet-rpg.2016.0500 contributor: fullname: Jing – volume: 232 start-page: 209 year: 2013 ident: 10.1016/j.est.2021.102743_bib0034 article-title: Using probability density function to evaluate the state of health of lithium-ion batteries publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2013.01.018 contributor: fullname: Feng |
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