{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T06:32:30Z","timestamp":1773383550880,"version":"3.50.1"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100007263","name":"Virginia Polytechnic Institute and State University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007263","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000879","name":"Alfred P. Sloan Foundation","doi-asserted-by":"publisher","award":["G-2020-12651"],"award-info":[{"award-number":["G-2020-12651"]}],"id":[{"id":"10.13039\/100000879","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s10845-022-01936-x","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T04:05:47Z","timestamp":1650427547000},"page":"2463-2475","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques"],"prefix":"10.1007","volume":"34","author":[{"given":"Yingqi","family":"Lu","sequence":"first","affiliation":[]},{"given":"Maede","family":"Maftouni","sequence":"additional","affiliation":[]},{"given":"Tairan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Panni","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"David","family":"Young","sequence":"additional","affiliation":[]},{"given":"Zhenyu James","family":"Kong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6842-9052","authenticated-orcid":false,"given":"Zheng","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,20]]},"reference":[{"issue":"3\u20134","key":"1936_CR1","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/S0921-8890(01)00121-X","volume":"35","author":"U B\u00fcker","year":"2001","unstructured":"B\u00fcker, U., Dr\u00fce, S., G\u00f6tze, N., Hartmann, G., Kalkreuter, B., Stemmer, R., & Trapp, R. (2001). Vision-based control of an autonomous disassembly station. Robotics and Autonomous Systems, 35(3\u20134), 179\u2013189.","journal-title":"Robotics and Autonomous Systems"},{"key":"1936_CR2","doi-asserted-by":"crossref","unstructured":"Buyssens, P., Elmoataz, A., & L\u00e9zoray, O. (2013, 2013\/\/). Multiscale convolutional neural networks for vision-based classification of cells. Paper presented at the Computer Vision\u2014ACCV 2012, Berlin, Heidelberg.","DOI":"10.1007\/978-3-642-37444-9_27"},{"issue":"12","key":"1936_CR3","doi-asserted-by":"publisher","first-page":"A2327","DOI":"10.1149\/1.2083267","volume":"152","author":"CL Campion","year":"2005","unstructured":"Campion, C. L., Li, W., & Lucht, B. L. (2005). Thermal decomposition of LiPF6-based electrolytes for lithium-ion batteries. Journal of the Electrochemical Society, 152(12), A2327\u2013A2334.","journal-title":"Journal of the Electrochemical Society"},{"key":"1936_CR4","doi-asserted-by":"crossref","unstructured":"Cheng, G.-J., Liu, L.-T., Qiang, X.-J., & Liu, Y. (2016). Industry 4.0 development and application of intelligent manufacturing. Paper presented at the 2016 international conference on information system and artificial intelligence (ISAI).","DOI":"10.1109\/ISAI.2016.0092"},{"issue":"1","key":"1936_CR5","doi-asserted-by":"publisher","first-page":"A6184","DOI":"10.1149\/2.0271701jes","volume":"164","author":"J Diekmann","year":"2017","unstructured":"Diekmann, J., Hanisch, C., Frob\u00f6se, L., Sch\u00e4licke, G., Loellhoeffel, T., F\u00f6lster, A.-S., & Kwade, A. (2017). Ecological recycling of lithium-ion batteries from electric vehicles with focus on mechanical processes. Journal of the Electrochemical Society, 164(1), A6184\u2013A6191.","journal-title":"Journal of the Electrochemical Society"},{"issue":"21","key":"1936_CR6","doi-asserted-by":"publisher","first-page":"12469","DOI":"10.1021\/es4026613","volume":"47","author":"W Fang","year":"2013","unstructured":"Fang, W., Yang, Y., & Xu, Z. (2013). PM10 and PM2.5 and health risk assessment for heavy metals in a typical factory for cathode ray tube television recycling. Environmental Science & Technology, 47(21), 12469\u201312476.","journal-title":"Environmental Science & Technology"},{"key":"1936_CR7","doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A.-R., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. Paper presented at the 2013 IEEE international conference on acoustics, speech and signal processing.","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"1936_CR8","doi-asserted-by":"publisher","first-page":"17096","DOI":"10.1039\/C9TA02356A","volume":"7","author":"GH Gu","year":"2019","unstructured":"Gu, G. H., Noh, J., Kim, I., & Jung, Y. (2019). Machine learning for renewable energy materials. Journal of Materials Chemistry A, 7, 17096\u201317117.","journal-title":"Journal of Materials Chemistry A"},{"issue":"9","key":"1936_CR9","doi-asserted-by":"publisher","first-page":"1425","DOI":"10.1109\/TNNLS.2013.2261574","volume":"24","author":"H-G Han","year":"2013","unstructured":"Han, H.-G., Wu, X.-L., & Qiao, J.-F. (2013). Real-time model predictive control using a self-organizing neural network. IEEE Transactions on Neural Networks and Learning Systems, 24(9), 1425\u20131436.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"7781","key":"1936_CR10","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1038\/s41586-019-1682-5","volume":"575","author":"G Harper","year":"2019","unstructured":"Harper, G., Sommerville, R., Kendrick, E., Driscoll, L., Slater, P., Stolkin, R., Walton, A., Christensen, P., Heidrich, O., Lambert, S., Abbott, A., Ryder, K., Gaines, L., & Anderson, P. (2019). Recycling lithium-ion batteries from electric vehicles. Nature, 575(7781), 75\u201386.","journal-title":"Nature"},{"key":"1936_CR11","doi-asserted-by":"crossref","unstructured":"Herrmann, C., Raatz, A., Andrew, S., & Schmitt, J. (2014). Scenario-based development of disassembly systems for automotive lithium ion battery systems. Paper presented at the Advanced Materials Research.","DOI":"10.4028\/www.scientific.net\/AMR.907.391"},{"issue":"8","key":"1936_CR12","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735\u20131780.","journal-title":"Neural Computation"},{"issue":"7","key":"1936_CR13","doi-asserted-by":"publisher","first-page":"1534","DOI":"10.3390\/s17071534","volume":"17","author":"KW Kim","year":"2017","unstructured":"Kim, K. W., Hong, H. G., Nam, G. P., & Park, K. R. (2017). A study of deep CNN-based classification of open and closed eyes using a visible light camera sensor. Sensors, 17(7), 1534.","journal-title":"Sensors"},{"key":"1936_CR14","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.chroma.2014.05.066","volume":"1354","author":"V Kraft","year":"2014","unstructured":"Kraft, V., Gr\u00fctzke, M., Weber, W., Winter, M., & Nowak, S. (2014). Ion chromatography electrospray ionization mass spectrometry method development and investigation of lithium hexafluorophosphate-based organic electrolytes and their thermal decomposition products. Journal of Chromatography A, 1354, 92\u2013100.","journal-title":"Journal of Chromatography A"},{"key":"1936_CR15","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, 25, 1097\u20131105.","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"7553","key":"1936_CR16","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436\u2013444.","journal-title":"Nature"},{"issue":"12","key":"1936_CR17","doi-asserted-by":"publisher","first-page":"4457","DOI":"10.1007\/s11837-019-03778-0","volume":"71","author":"L Li","year":"2019","unstructured":"Li, L., Zheng, P., Yang, T., Sturges, R., Ellis, M. W., & Li, Z. (2019). Disassembly automation for recycling end-of-life lithium-ion pouch cells. JOM Journal of the Minerals Metals and Materials Society, 71(12), 4457\u20134464.","journal-title":"JOM Journal of the Minerals Metals and Materials Society"},{"key":"1936_CR18","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1002\/cey2.29","volume":"2","author":"T Or","year":"2020","unstructured":"Or, T., Gourley, S. W., Kaliyappan, K., Yu, A., & Chen, Z. (2020). Recycling of mixed cathode lithium-ion batteries for electric vehicles: Current status and future outlook. Carbon Energy, 2, 6\u201343.","journal-title":"Carbon Energy"},{"issue":"6","key":"1936_CR19","doi-asserted-by":"publisher","first-page":"e01866","DOI":"10.1016\/j.heliyon.2019.e01866","volume":"5","author":"M Pagliaro","year":"2019","unstructured":"Pagliaro, M., & Meneguzzo, F. (2019). Lithium battery reusing and recycling: A circular economy insight. Heliyon, 5(6), e01866.","journal-title":"Heliyon"},{"key":"1936_CR20","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1016\/j.wasman.2015.11.003","volume":"51","author":"F Pagnanelli","year":"2016","unstructured":"Pagnanelli, F., Moscardini, E., Altimari, P., Atia, T. A., & Toro, L. (2016). Cobalt products from real waste fractions of end of life lithium ion batteries. Waste Management, 51, 214\u2013221.","journal-title":"Waste Management"},{"issue":"6","key":"1936_CR21","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1557\/mrs.2017.122","volume":"42","author":"P Patel","year":"2017","unstructured":"Patel, P., Ellis, T., & Howes, J. (2017). How green is your electric vehicle? MRS Bulletin, 42(6), 416\u2013417.","journal-title":"MRS Bulletin"},{"key":"1936_CR22","doi-asserted-by":"crossref","unstructured":"Purohit, K., Kesarwani, A., Kisku, D. R., & Dalui, M. (2020). COVID-19 detection on chest X-ray and CT scan images using multi-image augmented deep learning model. Cold Spring Harbor Laboratory.","DOI":"10.1101\/2020.07.15.205567"},{"key":"1936_CR23","volume-title":"Deep learning for computer vision with python: Starter bundle","author":"A Rosebrock","year":"2017","unstructured":"Rosebrock, A. (2017). Deep learning for computer vision with python: Starter bundle. PyImageSearch."},{"issue":"13","key":"1936_CR24","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1149\/08513.0397ecst","volume":"85","author":"SE Sloop","year":"2018","unstructured":"Sloop, S. E., Trevey, J. E., Gaines, L., Lerner, M. M., & Xu, W. (2018). Advances in direct recycling of lithium-ion electrode materials. ECS Transactions, 85(13), 397\u2013403.","journal-title":"ECS Transactions"},{"issue":"2","key":"1936_CR25","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1007\/s11045-020-00754-9","volume":"32","author":"H Tao","year":"2021","unstructured":"Tao, H., Li, X., Paszke, W., Stojanovic, V., & Yang, H. (2021). Robust PD-type iterative learning control for discrete systems with multiple time-delays subjected to polytopic uncertainty and restricted frequency-domain. Multidimensional Systems and Signal Processing, 32(2), 671\u2013692.","journal-title":"Multidimensional Systems and Signal Processing"},{"key":"1936_CR26","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.1109\/TIP.2021.3058783","volume":"30","author":"Y-H Wu","year":"2021","unstructured":"Wu, Y.-H., Gao, S.-H., Mei, J., Xu, J., Fan, D.-P., Zhang, R.-G., & Cheng, M.-M. (2021). JCS: An explainable COVID-19 diagnosis system by joint classification and segmentation. IEEE Transactions on Image Processing, 30, 3113\u20133126.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"3","key":"1936_CR27","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1177\/1475921718764873","volume":"18","author":"Y Xu","year":"2019","unstructured":"Xu, Y., Bao, Y., Chen, J., Zuo, W., & Li, H. (2019). Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images. Structural Health Monitoring, 18(3), 653\u2013674.","journal-title":"Structural Health Monitoring"},{"issue":"1","key":"1936_CR28","doi-asserted-by":"publisher","first-page":"1900088","DOI":"10.1002\/adsu.201900088","volume":"4","author":"T Yang","year":"2019","unstructured":"Yang, T., Lu, Y., Li, L., Ge, D., Yang, H., Leng, W., Zhou, H., Han, X., Schmidt, N., Ellis, M., & Li, Z. (2019). An effective relithiation process for recycling lithium-ion battery cathode materials. Advanced Sustainable Systems, 4(1), 1900088.","journal-title":"Advanced Sustainable Systems"},{"issue":"9","key":"1936_CR29","doi-asserted-by":"publisher","first-page":"1528","DOI":"10.3390\/math8091528","volume":"8","author":"L Zhou","year":"2020","unstructured":"Zhou, L., Tao, H., Paszke, W., Stojanovic, V., & Yang, H. (2020). PD-type iterative learning control for uncertain spatially interconnected systems. Mathematics, 8(9), 1528.","journal-title":"Mathematics"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-022-01936-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-022-01936-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-022-01936-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T12:50:55Z","timestamp":1744116655000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-022-01936-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,20]]},"references-count":29,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["1936"],"URL":"https:\/\/doi.org\/10.1007\/s10845-022-01936-x","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,20]]},"assertion":[{"value":"3 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}