A Review on Dynamic Recycling of Electric Vehicle Battery: Disassembly and Echelon Utilization
Source abstract
Abstract
With the growing requirements of retired electric vehicles (EVs), the recycling of EV batteries is being paid more and more attention to regarding its disassembly and echelon utilization to reach highly efficient resource utilization and environmental protection. In order to make full use of the retired EV batteries, we here discuss various possible application methods of echelon utilization, including hierarchical analysis methods based on various battery evaluation index. In addition, retired EV battery disassembly is also reviewed through the entire EV battery recycling based on human–robot collaboration methods. In order to improve the efficiency and reduce the cost of EV recycling, it is necessary to find a suitable recycling mode and disassembly process. This paper discusses the future possibility of echelon utilization and disassembly in retired EV battery recycling from disassembly optimization and human–robot collaboration, facing uncertain disassembly and echelon utilization.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Extraction and Separation Processes · Advanced Battery Technologies Research · Recycling and Waste Management Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
References (100+)
Show source-provided references
1. Progress of Chinese Electric Vehicles Industrialization in 2015: A Review10.1016/j.apenergy.2016.11.129 ↗
2. On-Demand Valet Charging for Electric Vehicles: Economic Equilibrium, Infrastructure Planning and Regulatory Incentives10.1016/j.trc.2022.103669 ↗
3. Techno-Economic Feasibility of Retired Electric-Vehicle Batteries Repurpose/Reuse in Second-Life Applications: A Systematic Review10.1016/j.egycc.2022.100086 ↗
4. Sorting, Regrouping, and Echelon Utilization of the Large-Scale Retired Lithium Batteries: A Critical Review10.1016/j.rser.2021.111162 ↗
5. A Review on Comprehensive Recycling of Spent Power Lithium-Ion Battery in China10.1016/j.etran.2022.100155 ↗
6. Analysis of Electric Vehicle Trends, Development and Policies in India10.1016/j.cstp.2021.06.006 ↗
7. Li-Ion Battery Materials: Present and Future10.1016/j.mattod.2014.10.040 ↗
8. Integration Issues of Lithium-Ion Battery into Electric Vehicles Battery Pack10.1016/j.jclepro.2015.11.011 ↗
9. Battery Pack Topology Structure on State-of-Charge Estimation Accuracy in Electric Vehicles10.1016/j.electacta.2016.10.078 ↗
10. Environmental Life Cycle Assessment of Emerging Solid-State Batteries: A Review10.1016/j.ceja.2022.100439 ↗
11. A Comparative Study of Different Equivalent Circuit Models for Estimating State-of-Charge of Lithium-Ion Batteries10.1016/j.electacta.2017.10.153 ↗
12. Comparison of Catalytic Performance of Different Types of Graphene in Li-O2 Batteries10.1016/j.jallcom.2015.05.200 ↗
13. A Review of Modification Methods of Solid Electrolytes for All-Solid-State Sodium-Ion Batteries10.1002/ente.202000682 ↗
14. Turning Waste into Wealth: A Systematic Review on Echelon Utilization and Material Recycling of Retired Lithium-Ion Batteries10.1016/j.ensm.2021.05.010 ↗
15. Recycling End-of-Life Electric Vehicle Lithium-Ion Batteries10.1016/j.joule.2019.09.014 ↗
16. On the Sustainability of Lithium Ion Battery Industry—A Review and Perspective10.1016/j.ensm.2020.12.019 ↗
17. A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers Potential Solutions, Business Strategies, and Policies10.1109/ACCESS.2019.2917859 ↗
18. Recycling of Spent Lithium-Ion Batteries in View of Lithium Recovery: A Critical Review10.1016/j.jclepro.2019.04.304 ↗
19. Management Status of Waste Lithium-Ion Batteries in China and a Complete Closed-Circuit Recycling Process10.1016/j.scitotenv.2021.145913 ↗
20. A Novel Strategy of Lithium Recycling from Spent Lithium-Ion Batteries Using Imidazolium Ionic Liquid10.1016/j.cjche.2021.09.020 ↗
21. Energy and Climate Effects of Second-Life Use of Electric Vehicle Batteries in California through 205010.1016/j.jpowsour.2015.04.097 ↗
22. Exploring Recycling Options in Battery Supply Chains—A Life Cycle Sustainability Assessment10.1016/j.procir.2022.02.072 ↗
23. Extended Utilization of Electric Vehicles and Their Re-Used Batteries to Support the Building Energy Management System10.1016/j.egypro.2015.07.226 ↗
24. Disassembly Task Planning for End-of-Life Automotive Traction Batteries Based on Ontology and Partial Destructive Rules10.1016/j.jmsy.2021.12.006 ↗
25. Propagation Mechanisms and Diagnosis of Parameter Inconsistency within Li-Ion Battery Packs10.1016/j.rser.2019.05.042 ↗
26. Modeling and State of Charge Estimation of Inconsistent Parallel Lithium-Ion Battery Module10.1016/j.est.2022.104565 ↗
27. Performance Assessment of Retired EV Battery Modules for Echelon Use10.1016/j.energy.2019.116555 ↗
28. Resources, Conservation & Recycling Metallurgical and Mechanical Methods for Recycling of Lithium-Ion Battery Pack for Electric Vehicles10.1016/j.resconrec.2018.04.025 ↗
29. Investigation of the Potential for an Automated Disassembly Process of BEV Batteries10.1016/j.procir.2021.01.151 ↗
30. Weyrich, M., and Wang, Y. (2013, January 10–13). Architecture Design of a Vision-Based Intelligent System for Automated Disassembly of E-Waste with a Case Study of Traction Batteries. Proceedings of the 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), Cagliari, Italy.10.1109/ETFA.2013.6648043 ↗
31. Recycling Lithium-Ion Batteries from Electric Vehicles10.1038/s41586-019-1682-5 ↗
32. Efficiency and Feasibility of Product Disassembly: A Case-Based Study10.1016/j.cirp.2008.09.009 ↗
33. Battery Second Life: Hype, Hope or Reality? A Critical Review of the State of the Art10.1016/j.rser.2018.04.035 ↗
34. Analysis of the Performance Decline Discipline of Lithium-Ion Power Battery10.1016/j.jlp.2021.104644 ↗
35. Historical Data Demand in Window-Based Battery Parameter Identification Algorithm10.1016/j.jpowsour.2019.05.092 ↗
36. State-of-Health Estimation for Lithium-Ion Batteries Based on Historical Dependency of Charging Data and Ensemble SVR10.1016/j.electacta.2022.140940 ↗
37. Lih, W.C., Yen, J.H., Shieh, F.H., and Liao, Y.M. (2012, January 4–6). Second Use of Retired Lithium-Ion Battery Packs from Electric Vehicles: Technological Challenges, Cost Analysis and Optimal Business Model. Proceedings of the 2012 International Symposium on Computer, Consumer and Control, Taichung, Taiwan.10.1109/IS3C.2012.103 ↗
38. Economic and Environmental Assessment of Reusing Electric Vehicle Lithium-Ion Batteries for Load Leveling in the Residential, Industrial and Photovoltaic Power Plants Sectors10.1016/j.rser.2019.109413 ↗
39. Demonstration of Reusing Electric Vehicle Battery for Solar Energy Storage and Demand Side Management10.1016/j.est.2017.03.003 ↗
40. Electric/Thermal Hybrid Energy Storage Planning for Park-Level Integrated Energy Systems with Second-Life Battery Utilization10.1016/j.adapen.2021.100064 ↗
41. Development of a Converterless Energy Management System for Reusing Automotive Lithium-Ion Battery Applied in Smart-Grid Balancing10.1016/j.jclepro.2017.04.028 ↗
42. Battery Cycle Life Balancing in a Microgrid through Flexible Distribution of Energy and Storage Resources10.1016/j.jpowsour.2014.02.043 ↗
43. How Will Retired Electric Vehicle Batteries Perform in Grid-Based Second-Life Applications? A Comparative Techno-Economic Evaluation of Used Batteries in Different Scenarios10.1016/j.jclepro.2022.132281 ↗
44. Economic Analysis of Household Photovoltaic and Reused-Battery Energy Storage Systems Based on Solar-Load Deep Scenario Generation under Multi-Tariff Policies of China10.1016/j.est.2020.102081 ↗
45. End-of-Life or Second-Life Options for Retired Electric Vehicle Batteries10.1016/j.xcrp.2021.100537 ↗
46. Recycling of Spent Lithium-Ion Batteries: A Comprehensive Review for Identification of Main Challenges and Future Research Trends10.1016/j.seta.2022.102447 ↗
47. Annual Operating Characteristics Analysis of Photovoltaic-Energy Storage Microgrid Based on Retired Lithium Iron Phosphate Batteries10.1016/j.est.2021.103769 ↗
48. Model for Payback Time of Using Retired Electric Vehicle Batteries in Residential Energy Storage Systems10.1016/j.energy.2022.124975 ↗
49. Driving Rural Energy Access: A Second-Life Application for Electric-Vehicle Batteries10.1088/1748-9326/9/9/094004 ↗
50. Review of Literature
51. A Simulation Model for Assessing the Potential of Remanufacturing Electric Vehicle Batteries as Spare Parts10.1016/j.jclepro.2022.132225 ↗
52. A Review of Physical Processes Used in the Safe Recycling of Lithium Ion Batteries
53. Techno-Economic and Environmental Disassembly Planning of Lithium-Ion Electric Vehicle Battery Packs for Remanufacturing10.1016/j.resconrec.2019.104461 ↗
54. Remanufacturing with RFID Item-Level Information: Optimization, Waste Reduction and Quality Improvement10.1016/j.ijpe.2013.05.019 ↗
55. The Adoption of Internet of Things in a Circular Supply Chain Framework for the Recovery of WEEE: The Case of Lithium-Ion Electric Vehicle Battery Packs10.1016/j.wasman.2019.09.045 ↗
56. RFID Technology and Its Diverse Applications: A Brief Exposition with a Proposed Machine Learning Approach10.1016/j.measurement.2022.111197 ↗
57. Quantifying, Understanding and Evaluating the Effects of Gas Consumption in Lithium-Ion Cells10.1149/2.0191714jes ↗
58. (Invited) Effect of Aging on Mechanical Properties of Lithium Ion Cell Components10.1149/07711.0199ecst ↗
59. Simplified Electrochemical Model to Account for Different Active/Inactive Cathode Compositions in Li-Ion Batteries10.1016/j.est.2020.101579 ↗
60. Inventory Grouping and Sensitivity Analysis in Multi-Echelon Spare Part Provisioning Systems10.1016/j.cie.2019.106230 ↗
61. Soft Clustering of Retired Lithium-Ion Batteries for the Secondary Utilization Using Gaussian Mixture Model Based on Electrochemical Impedance Spectroscopy10.1016/j.jclepro.2022.130786 ↗
62. Aging Investigation of an Echelon Internal Heating Method on a Three- Electrode Lithium Ion Cell at Low Temperatures10.1016/j.est.2019.100878 ↗
63. SOC Estimation Based on Improved Sampling Point Kalman Filter for Mine-Used Battery
64. State of Charge Estimation for LiMn2O4 Power Battery Based on Strong Tracking Sigma Point Kalman Filter10.1016/j.jpowsour.2015.01.002 ↗
65. A New Method of Modeling and State of Charge Estimation of the Battery10.1016/j.jpowsour.2016.03.112 ↗
66. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF10.1109/TIE.2010.2043035 ↗
67. Development of Status Detection Method of Lithium-Ion Rechargeable Battery for Hybrid Electric Vehicles10.1016/j.jpowsour.2020.228760 ↗
68. Wu, P.C., Hsu, W.C., and Chen, J.F. (2013, January 3–6). Detection on SOC of VRLA Battery with EIS. Proceedings of the 2013 1st International Future Energy Electronics Conference (IFEEC), Tainan, Taiwan.10.1109/IFEEC.2013.6687629 ↗
69. Zhang, X., Cai, M., Wang, C., Gao, L., and Fan, X. (2018, January 8–9). Research for SOC Prediction of Lithium Battery Based on GA-ESN. Proceedings of the 2018 11th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China.10.1109/ISCID.2018.10139 ↗
70. A Review on the State of Health Estimation Methods of Lead-Acid Batteries10.1016/j.jpowsour.2021.230710 ↗
71. State-of-Health Estimation for Satellite Batteries Based on the Actual Operating Parameters—Health Indicator Extraction from the Discharge Curves and State Estimation10.1016/j.est.2020.101490 ↗
72. A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-Ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems10.1016/j.jpowsour.2017.03.042 ↗
73. Simultaneous and Rapid Estimation of State of Health and State of Charge for Lithium-Ion Battery Based on Response Characteristics of Load Surges10.1016/j.est.2022.105495 ↗
74. State of Health Estimation for Fast-Charging Lithium-Ion Battery Based on Incremental Capacity Analysis10.1016/j.est.2022.104560 ↗
75. Remaining Useful Life Prediction for 18650 Sodium-Ion Batteries Based on Incremental Capacity Analysis10.1016/j.energy.2022.125151 ↗
76. A Lithium-Ion Battery Remaining Useful Life Prediction Method Based on the Incremental Capacity Analysis and Gaussian Process Regression10.1016/j.microrel.2021.114405 ↗
77. Dataset on Broadband Electrochemical Impedance Spectroscopy of Lithium-Ion Batteries for Different Values of the State-of-Charge10.1016/j.dib.2022.108589 ↗
78. A Comparative Study of Different Features Extracted from Electrochemical Impedance Spectroscopy in State of Health Estimation for Lithium-Ion Batteries10.1016/j.apenergy.2022.119502 ↗
79. An Improvement of Equivalent Circuit Model for State of Health Estimation of Lithium-Ion Batteries Based on Mid-Frequency and Low-Frequency Electrochemical Impedance Spectroscopy10.1016/j.measurement.2022.111795 ↗
80. Material Parameter Analysis of Lithium-Ion Battery Based on Laboratory X-Ray Computed Tomography10.1016/j.jpowsour.2022.232131 ↗
81. Critical Review of the Methods for Monitoring of Lithium-Ion Batteries in Electric and Hybrid Vehicles10.1016/j.jpowsour.2014.02.064 ↗
82. Combined Conductivity and Electrochemical Impedance Spectroscopy Study of Na2FeP2O7 Cathode Material for Sodium Ion Batteries10.1016/j.ssi.2022.116024 ↗
83. On the Use of Electrochemical Impedance Spectroscopy to Characterize and Model the Aging Phenomena of Lithium-Ion Batteries: A Critical Review10.1016/j.jpowsour.2021.229860 ↗
84. Review—Post-Mortem Analysis of Aged Lithium-Ion Batteries: Disassembly Methodology and Physico-Chemical Analysis Techniques Review—Post-Mortem Analysis of Aged Lithium-Ion Batteries: Disassembly Methodology and Physico-Chemical Analysis Techniques10.1149/2.1211609jes ↗
85. Dynamic Economic Dispatch of a Hybrid Energy Microgrid Considering Building Based Virtual Energy Storage System10.1016/j.apenergy.2016.07.080 ↗
86. Environmental-Economic Analysis of the Secondary Use of Electric Vehicle Batteries in the Load Shifting of Communication Base Stations: A Case Study in China10.1016/j.est.2022.105823 ↗
87. Thermodynamically Consistent Modeling of Elementary Electrochemistry in Lithium-Ion Batteries10.1016/j.electacta.2010.08.018 ↗
88. Study of the Local SOC Distribution in a Lithium-Ion Battery by Physical and Electrochemical Modeling and Simulation10.1016/j.apm.2012.04.029 ↗
89. Integrated System Identification and State-of-Charge Estimation of Battery Systems10.1109/TEC.2012.2223700 ↗
90. Modeling of Lithium Ion Cells—A Simple Equivalent-Circuit Model Approach10.1016/j.ssi.2004.09.049 ↗
91. Data-Driven Health Estimation and Lifetime Prediction of Lithium-Ion Batteries: A Review10.1016/j.rser.2019.109254 ↗
92. Development of a Lifetime Prediction Model for Lithium Thionyl Chloride Batteries Based on an Accelerated Degradation Test10.1016/j.microrel.2016.07.152 ↗
93. Lithium-Ion Battery Life Prognostic Health Management System Using Particle Filtering Framework
94. An Integrated Unscented Kalman Filter and Relevance Vector Regression Approach for Lithium-Ion Battery Remaining Useful Life and Short-Term Capacity Prediction10.1016/j.ress.2015.07.013 ↗
95. Remaining Useful Life Prediction of Lithium-Ion Battery Using an Improved UPF Method Based on MCMC10.1016/j.microrel.2017.02.012 ↗
96. Lithium-Ion Battery Remaining Useful Life Estimation Based on Fusion Nonlinear Degradation AR Model and RPF Algorithm10.1007/s00521-013-1520-x ↗
97. Lithium-Ion Batteries Remaining Useful Life Prediction Based on a Mixture of Empirical Mode Decomposition and ARIMA Model10.1016/j.microrel.2016.07.151 ↗
98. A Naive Bayes Model for Robust Remaining Useful Life Prediction of Lithium-Ion Battery10.1016/j.apenergy.2013.12.020 ↗
99. Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework10.1109/TIM.2008.2005965 ↗
100. Cycle Ageing Analysis of a LiFePO4/Graphite Cell with Dynamic Model Validations: Towards Realistic Lifetime Predictions10.1016/j.jpowsour.2014.10.153 ↗