Assessment and management of health status in full life cycle of echelon utilization for retired power lithium batteries

Chen, Haopeng; Zhang, Tianshi; Gao, Qing; Han, Zhiwu; Jin, Yingai; Li, Liang; Yang, Kaiqiao; Xu, Yihuai; Liu, Xiaoyan; Xu, Xiaoyu; Wang, Shengshi

doi:10.1016/j.jclepro.2022.134583

Cited by 48 publications

(20 citation statements)

References 178 publications

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“…However, the lack of regulatory technology makes it difficult to ensure that reused batteries in the same workgroup are in the same state of health. [80,81] The safety of the reuse process cannot be guaranteed due to the uneven quality of retired power batteries. The reuse program has been stopped by some countries.…”

Section: Recycling Process Of Lfpmentioning

confidence: 99%

A Critical Review on the Recycling Strategy of Lithium Iron Phosphate from Electric Vehicles

Zhang

Wang

et al. 2023

Small Methods

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Electric vehicles (EVs) are one of the most promising decarbonization solutions to develop a carbon‐negative economy. The increasing global storage of EVs brings out a large number of power batteries requiring recycling. Lithium iron phosphate (LFP) is one of the first commercialized cathodes used in early EVs, and now gravimetric energy density improvement makes LFP with low cost and robustness popular again in the market. Developments in LFP recycling techniques are in demand to manage a large portion of the EV batteries retired both today and around ten years later. In this review, first the operation and degradation mechanisms of LFP are revisited aiming to identify entry points for LFP recycling. Then, the current LFP recycling methods, from the pretreatment of the retired batteries to the regeneration and recovery of the LFP cathode are summarized. The emerging direct recovery technology is highlighted, through which both raw material and the production cost of LFP can be recovered. In addition, the current issues limiting the development of the LIBs recycling industry are presented and some ideas for future research are proposed. This review provides the theoretical basis and insightful perspectives on developing new recycling strategies by outlining the whole‐life process of LFP.

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Section: Recycling Process Of Lfpmentioning

confidence: 99%

A Critical Review on the Recycling Strategy of Lithium Iron Phosphate from Electric Vehicles

Zhang

Wang

et al. 2023

Small Methods

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“…It is gradually focusing on applying EoL power batteries in the field of echelon utilization in light of the increasing popularity of NEVs. The "National Lithium Development Blueprint 2021-2030", released by the Department of Energy in 2021, proposes to maximize the use of EoL lithium batteries, establish a special fund for battery recycling, recover vital raw materials, and develop a competitive industry chain for lithium battery recycling [40]. The Department of Energy released two funding announcements in 2022: the "Battery Materials Processing and Battery Manufacturing Funding Opportunity Announcement" and the "Electric Drive Vehicle Battery Recycling and Second-Life Applications".…”

Section: Usmentioning

confidence: 99%

“…In China, a report entitled "Management Measures for the Echelon Utilization of New Energy Vehicle Power Batteries" was released in August 2021. It follows the principle of "echelon utilization before recycling" and encourages rational utilization of retired power batteries at multiple levels [40]. Based on the national industrial development policies, local governments should consider factors such as urban construction planning, regional economic development, talent pools, and echelon utilization technology to formulate targeted local policies.…”

Section: Chinamentioning

confidence: 99%

“…However, these concepts have relatively narrow definitions and analyses. They cannot be used to determine whether a battery with EoL power remains healthy throughout its full life cycle [40]. Monitoring and predicting the battery's state of health (SOH) is extremely important for the future intelligent battery management system (BMS) [89].…”

Section: Theoretical Basis Of the Recycle Systemmentioning

confidence: 99%

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Literature Review on Power Battery Echelon Reuse and Recycling from a Circular Economy Perspective

Nie

Wang

et al. 2023

IJERPH

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Developing new energy vehicles (NEVs) is necessary to grow the low-carbon vehicle industry. Many concentrated end-of-life (EoL) power batteries will cause large-scale environmental pollution and safety accidents when the time comes to replace the first generation of batteries if improper recycling and disposal methods are utilized. Significant negative externalities will result for the environment and other economic entities. When recycling EoL power batteries, some countries need to solve problems about lower recycling rates, unclear division of echelon utilization scenarios, and incomplete recycling systems. Therefore, this paper first analyzes representative countries’ power battery recycling policies and finds out the reasons for the low recycling rate in some countries. It is also found that echelon utilization is the critical link to EoL power battery recycling. Secondly, this paper summarizes the existing recycling models and systems to form a complete closed-loop recycling process from the two stages of consumer recycling and corporate disposal of batteries. The policies and recycling technologies are highly concerned with echelon utilization, but few studies focus on analyzing application scenarios of echelon utilization. Therefore, this paper combines cases to delineate the echelon utilization scenarios clearly. Based on this, the 4R EoL power battery recycling system is proposed, which improves the existing recycling system and can recycle EoL power batteries efficiently. Finally, this paper analyzes the existing policy problems and existing technical challenges. Based on the actual situation and future development trends, we propose development suggestions from the government, enterprises, and consumers to achieve the maximum reused of EoL power batteries.

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“…The actual operating environment of new energy vehicles is variable and the scenarios are complex, and the data characterizing their safety status has characteristics such as multi-dimensional, redundant, heterogeneous, and strong coupling, which poses a great challenge to exploring and mining the vehicle safety characteristics contained in the big data of operation [1]. The state assessment of new energy vehicle power batteries in strongly coupled complex systems is difficult to achieve through mechanism analysis [2]. Therefore, a data-driven safety feature extraction method combining Assuming that the number of neurons in the visible and hidden layers of RBM in Figure 1 is m and n, respectively, and there are no connections within each layer.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Identification Model of Power Battery Self-discharge Based on Deep Belief Networks

Wang,

Yan,

Shen

et al. 2023

J. Phys.: Conf. Ser.

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Electric vehicles will receive signal data such as voltage and current while the vehicle is running, which can reflect the safety status of the vehicle. Therefore, a quantitative description of the safety status of power batteries during operation can be achieved by analyzing and mining the safety features contained in the historical data of the vehicle that is running. However, considering the physical characteristics of the battery system and factors such as sensor design and acquisition accuracy, there is inevitably information coupling, redundancy, and error between different signals, making it difficult to extract and quantify safety features accurately. To solve this problem, this paper combines the identification method of abnormal risk characteristics of self-discharge of power battery, constructs abnormal risk characteristics of self-discharge of power battery, and completes the calculation and safety quantification of self-discharge risk characteristics. On this basis, by combining multiple safety features with the vehicle safety status obtained from the above analysis, a supervised learning sample data set is constructed, and the deep confidence network (DBN) is used to map and describe the vehicle safety feature data and the vehicle safety status, so as to achieve accurate judgment and fault identification of the vehicle comprehensive status.

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Assessment and management of health status in full life cycle of echelon utilization for retired power lithium batteries

Cited by 48 publications

References 178 publications

A Critical Review on the Recycling Strategy of Lithium Iron Phosphate from Electric Vehicles

A Critical Review on the Recycling Strategy of Lithium Iron Phosphate from Electric Vehicles

Literature Review on Power Battery Echelon Reuse and Recycling from a Circular Economy Perspective

Anomaly Identification Model of Power Battery Self-discharge Based on Deep Belief Networks

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