Technoeconomic decision support for second-life batteries
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2025.125800
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Kristen A. Severson & Peter M. Attia & Norman Jin & Nicholas Perkins & Benben Jiang & Zi Yang & Michael H. Chen & Muratahan Aykol & Patrick K. Herring & Dimitrios Fraggedakis & Martin Z. Bazant & Step, 2019. "Data-driven prediction of battery cycle life before capacity degradation," Nature Energy, Nature, vol. 4(5), pages 383-391, May.
- Tang, Xiaopeng & Zou, Changfu & Yao, Ke & Lu, Jingyi & Xia, Yongxiao & Gao, Furong, 2019. "Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method," Applied Energy, Elsevier, vol. 254(C).
- Peter M. Attia & Aditya Grover & Norman Jin & Kristen A. Severson & Todor M. Markov & Yang-Hung Liao & Michael H. Chen & Bryan Cheong & Nicholas Perkins & Zi Yang & Patrick K. Herring & Muratahan Ayko, 2020. "Closed-loop optimization of fast-charging protocols for batteries with machine learning," Nature, Nature, vol. 578(7795), pages 397-402, February.
- Xia, Quan & Yang, Dezhen & Wang, Zili & Ren, Yi & Sun, Bo & Feng, Qiang & Qian, Cheng, 2020. "Multiphysical modeling for life analysis of lithium-ion battery pack in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Tadeusz Białoń & Roman Niestrój & Wojciech Skarka & Wojciech Korski, 2023. "HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example," Energies, MDPI, vol. 16(17), pages 1-21, August.
- Gavin Harper & Roberto Sommerville & Emma Kendrick & Laura Driscoll & Peter Slater & Rustam Stolkin & Allan Walton & Paul Christensen & Oliver Heidrich & Simon Lambert & Andrew Abbott & Karl Ryder & L, 2019. "Recycling lithium-ion batteries from electric vehicles," Nature, Nature, vol. 575(7781), pages 75-86, November.
- Penelope K. Jones & Ulrich Stimming & Alpha A. Lee, 2022. "Impedance-based forecasting of lithium-ion battery performance amid uneven usage," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Mathews, Ian & Xu, Bolun & He, Wei & Barreto, Vanessa & Buonassisi, Tonio & Peters, Ian Marius, 2020. "Technoeconomic model of second-life batteries for utility-scale solar considering calendar and cycle aging," Applied Energy, Elsevier, vol. 269(C).
- Stephen Comello & Stefan Reichelstein, 2019. "The emergence of cost effective battery storage," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Patterson, Ashleigh & Williams, Allison, 2025. "Achieving a caregiver-friendly workplace standard for Canadian carer-workers: An ex ante evaluation of potential uptake," Evaluation and Program Planning, Elsevier, vol. 111(C).
- Bach, Amadeus & Onori, Simona & Reichelstein, Stefan & Zhuang, Jihan, 2025. "Fair market value of used capacity assets: Forecasts for repurposed electric vehicle batteries," ZEW Discussion Papers 25-065, ZEW - Leibniz Centre for European Economic Research.
- Tang, Wenhu & Huang, Yunlin & Qian, Tong & Xie, Xuehua & Wei, Cihang & Wu, Jianzhong, 2026. "Unlocking the value of retired EV batteries: Technologies, application, and commercial models for second-life energy storage in power systems," Applied Energy, Elsevier, vol. 404(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Gu, Xubo & Bai, Hanyu & Cui, Xiaofan & Zhu, Juner & Zhuang, Weichao & Li, Zhaojian & Hu, Xiaosong & Song, Ziyou, 2024. "Challenges and opportunities for second-life batteries: Key technologies and economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
- Yifan, Zheng & Sida, Zhou & Zhengjie, Zhang & Xinan, Zhou & Rui, Cao & Qiangwei, Li & Zichao, Gao & Chengcheng, Fan & Shichun, Yang, 2024. "A capacity fade reliability model for lithium-ion battery packs based on real-vehicle data," Energy, Elsevier, vol. 307(C).
- Shengyu Tao & Haizhou Liu & Chongbo Sun & Haocheng Ji & Guanjun Ji & Zhiyuan Han & Runhua Gao & Jun Ma & Ruifei Ma & Yuou Chen & Shiyi Fu & Yu Wang & Yaojie Sun & Yu Rong & Xuan Zhang & Guangmin Zhou , 2023. "Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
- Hsu, Chia-Wei & Xiong, Rui & Chen, Nan-Yow & Li, Ju & Tsou, Nien-Ti, 2022. "Deep neural network battery life and voltage prediction by using data of one cycle only," Applied Energy, Elsevier, vol. 306(PB).
- Deng, Weikun & Le, Hung & Nguyen, Khanh T.P. & Gogu, Christian & Medjaher, Kamal & Morio, Jérôme & Wu, Dazhong, 2025. "A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data," Applied Energy, Elsevier, vol. 384(C).
- Fujin Wang & Zhi Zhai & Zhibin Zhao & Yi Di & Xuefeng Chen, 2024. "Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Zhu, Jiangong & Weng, Wenyuan & You, Heze & Zhang, Jie & Wang, Yixiu & Jiang, Bo & Ji, Chenzhen & Wei, Xuezhe & Dai, Haifeng, 2025. "Lithium-ion battery end of life prediction based on the decelerating aging point," Applied Energy, Elsevier, vol. 401(PA).
- Jiangong Zhu & Yixiu Wang & Yuan Huang & R. Bhushan Gopaluni & Yankai Cao & Michael Heere & Martin J. Mühlbauer & Liuda Mereacre & Haifeng Dai & Xinhua Liu & Anatoliy Senyshyn & Xuezhe Wei & Michael K, 2022. "Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Li, Tingkai & Liu, Jinqiang & Thelen, Adam & Mishra, Ankush Kumar & Yang, Xiao-Guang & Wang, Zhaoyu & Hu, Chao, 2025. "Coupling a capacity fade model with machine learning for early prediction of the battery capacity trajectory," Applied Energy, Elsevier, vol. 389(C).
- Lyu, Guangzheng & Zhang, Heng & Miao, Qiang, 2024. "An adaptive and interpretable SOH estimation method for lithium-ion batteries based-on relaxation voltage cross-scale features and multi-LSTM-RFR2," Energy, Elsevier, vol. 304(C).
- Zhou, Yuekuan, 2024. "Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence," Applied Energy, Elsevier, vol. 371(C).
- Che, Yunhong & Zheng, Yusheng & Wu, Yue & Sui, Xin & Bharadwaj, Pallavi & Stroe, Daniel-Ioan & Yang, Yalian & Hu, Xiaosong & Teodorescu, Remus, 2022. "Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network," Applied Energy, Elsevier, vol. 323(C).
- Fu, Shiyi & Fan, Hongtao & Jin, Zhaorui & Ji, Fan & Tao, Yulin & Dong, Yachao & Chen, Xunyuan & Shao, Minghao & Yuan, Shuyu & Wang, Yu & Sun, Yaojie, 2026. "Recent progress in state of health estimation for lithium-ion batteries: From laboratory to practical application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).
- Jiang, Lidang & Hu, Changyan & Ji, Sibei & Zhao, Hang & Chen, Junxiong & He, Ge, 2025. "Generating comprehensive lithium battery charging data with generative AI," Applied Energy, Elsevier, vol. 377(PC).
- Bach, Amadeus & Onori, Simona & Reichelstein, Stefan & Zhuang, Jihan, 2025. "Fair market value of used capacity assets: Forecasts for repurposed electric vehicle batteries," ZEW Discussion Papers 25-065, ZEW - Leibniz Centre for European Economic Research.
- Ibraheem, Rasheed & Dechent, Philipp & dos Reis, Gonçalo, 2025. "Path signature-based life prognostics of Li-ion battery using pulse test data," Applied Energy, Elsevier, vol. 378(PA).
- Shahjalal, Mohammad & Roy, Probir Kumar & Shams, Tamanna & Fly, Ashley & Chowdhury, Jahedul Islam & Ahmed, Md. Rishad & Liu, Kailong, 2022. "A review on second-life of Li-ion batteries: prospects, challenges, and issues," Energy, Elsevier, vol. 241(C).
- Zhang, Zhen & Zhu, Yuhao & Gong, Yichang & Wang, Teng & Cui, Naxin & Shang, Yunlong, 2025. "Insight into the whole from the part: Redefined state of health for lithium-ion batteries based on optimal charging fragment search," Energy, Elsevier, vol. 320(C).
- Li, Huaijin & Wang, Shoukang & Yang, Lin & Zhou, Zhengyi & Meng, Yizhen & Zhang, Wugao & Shuan, Zhu & Li, Yang & Lv, Feng, 2025. "SOH estimation method for lithium-ion battery packs under real-world operating conditions based on a new attenuated model without additional experiments," Energy, Elsevier, vol. 330(C).
- Kim, Sung Wook & Oh, Ki-Yong & Lee, Seungchul, 2022. "Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries," Applied Energy, Elsevier, vol. 315(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:390:y:2025:i:c:s0306261925005306. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/appene/v390y2025ics0306261925005306.html