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Quantifying key factors for optimised manufacturing of li-ion battery anode and cathode via artificial intelligence

能源与人工智能(英文) 2022年第1期7卷 75-90页

作者： Mona Faraji Niri Kailong liu Geanina Apachitei Luis A.A Román-Ramírez Michael Lain Dhammika Widanage James Marco Warwick Manufacturing Group University of WarwickCV47AL CoventryUK The Faraday Institution Quad OneHarwell Science and Innovation CampusDidcotUK

li-ion battery is one of the key players in energy storage technology empowering electrified and clean transportation ***,it is still associated with high costs due to the expensive material as well as high fluctuations of the manufacturing *** production processes involving mechanical,chemical,and electrical operations makes the predictability of the manufacturing process a challenge,hence the process is optimised through trial and error rather systematic *** establish an in-depth understanding of the interconnected processes and manufacturing parameters,this paper combines data-mining techniques and real production to offer a method for the systematic analysis,understanding and improving the li-ion battery electrode manufacturing *** novelty of this research is that unlike most of the existing research that are focused on cathode manufacturing only,it covers both of the cathode and anode case ***,it is based on real manufacturing data,proposes a systematic design of experiment method for generating high quality and representative data,and leverages the artificial intelligence techniques to identify the dependencies in between the manufacturing parameters and the key quality factors of the *** this study,machine learning models are developed to quantify the predictability of electrode and cell properties given the coating process control ***,the manufacturing parameters are ranked and their contribution to the electrode and cell characteristics are quantified by *** systematic data acquisition approach as well as the quantified interdependencies are expected to assist the manufacturer when moving towards an improved battery production chain.

关键词： li-ion battery electrodes Anode Cathode battery manufacturing Machine learning Artificial intelligence

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