Recycling Of Electric Vehicle Batteries Research Articles

Consumer preference and willingness-to-pay for formal recycling of electric vehicle batteries: a discrete choice experiment study

The burgeoning electric vehicle (EV) market poses a substantial challenge to battery recycling systems, yet understanding EV battery recycling behavior from the demand side remains limited. Previous studies have analyzed perceptual or attitudinal factors, neglecting the observable attributes of EV battery recycling. To this end, we proposed a discrete choice model to investigate the differences between formal and informal recycling behaviors, identifying consumer preferences and willingness to pay. By analyzing 1190 sample data collected from Chongqing, China, we find that: (1) The formal recycling market exhibits greater sensitivity to prices compared to the informal recycling market. (2) The formal recycling market favors recycling by EV battery producers, whereas the informal recycling market shows the least preference for recycling by automobile producers. (3) Door-to-door recycling services are the most effective in facilitating the transition from informal to formal recycling markets for EV batteries. (4) Capacity subsidy policies outperform one-time fixed subsidy policies in incentivizing formal recycling. (5) The formal recycling market for EV batteries necessitates "traceability to the recycling outlet", as opposed to being untraceable. (6) The high-awareness group exhibits greater sensitivity to government policies compared to those with lower environmental concerns and less knowledge of EV battery recycling.

Barriers to electric vehicle battery recycling in a circular economy: An interpretive structural modeling

An increasing number of electric vehicle batteries will reach the end of their life cycle with the fast growth of electric vehicles. Since the recycling of retired electric vehicles batteries is of great significance in the light of resource utilization, ecological protection, energy saving and economic benefits, the proper management of electric vehicle battery recycling (EVBR) is crucial for achieving sustainable development. However, due to the involvement of multiple stakeholders, there are many potential barriers in the process of EVBR, and analyzing these barriers can significantly help the recycling management of waste electric vehicle batteries towards a circular economy. Although the literature has focused on analyzing obstacles to implementing reverse logistics for electric vehicle lithium battery recycling from a manufacturer's perspective, less attention has been paid to analyzing barriers to EVBR from a multi-stakeholder perspective. This paper thus aims to investigate the barriers to EVBR from a multi-stakeholder point of view, identify the main barriers affecting battery recycling, and analyze the interrelationships and hierarchies between these barriers. Based on expert opinions and literature reviews, this paper identifies twenty major barriers to EVBR and uses interpretive structural modelling (ISM) method to determine the interrelationships and hierarchies between the barriers, and finally classifies the barriers to EVBR into a seven-level structural model. Furthermore, matriced impacts corises-multiplcation appliance classement (MICMAC) analysis is applied to categorize the identified barriers to EVBR, and the twenty barriers are finally classified into three categories, namely dependent barriers, linkage barriers, and driver barriers. This paper discusses theoretical insights, managerial and practical implications, and measures to overcome EVBR barriers based on the results, which show that the lack of more appropriate incentives is a major barrier to EVBR implementation. This paper provides a solid theoretical foundation for the further development of battery recycling policies, and will also help relevant stakeholders and governments to better understand these barriers and adopt effective approaches to address them.

Sustainable Management of Rechargeable Batteries Used in Electric Vehicles

A Life Cycle Assessment (LCA) quantifies the environmental impacts during the life of a product from cradle to grave. It evaluates energy use, material flow, and emissions at each stage of life. This report addresses the challenges and potential solutions related to the surge in electric vehicle (EV) batteries in the United States amidst the EV market’s exponential growth. It focuses on the environmental and economic implications of disposal as well as the recycling of lithium-ion batteries (LIBs). With millions of EVs sold in the past decade, this research highlights the necessity of efficient recycling methods to mitigate environmental damage from battery production and disposal. Utilizing a Life Cycle Assessment (LCA) and Life Cycle Cost Assessment (LCCA), this research compares emissions and costs between new and recycled batteries by employing software tools such as SimaPro V7 and GREET V2. The findings indicate that recycling batteries produces a significantly lower environmental impact than manufacturing new units from new materials and is economically viable as well. This research also emphasizes the importance of preparing for the upcoming influx of used EV batteries and provides suggestions for future research to optimize the disposal and recycling of EV batteries.

Second Life of Used Lithium-Ion Batteries from Electric Vehicles in the USA

This article focuses on the reuse and recycling of end-of-life (EOL) lithium-ion batteries (LIB) in the USA in the context of the rapidly growing electric vehicle (EV) market. Due to the recent increase in the enactment of both current and pending regulations concerning EV battery recycling, this work focuses on the recycling aspect for lithium-ion batteries rather than emphasizing the reuse of EOL batteries (although these practices have value and utility). A comparative analysis of various recycling methods is presented, including hydrometallurgy, pyrometallurgy, direct recycling, and froth flotation. The efficiency and commercial viability of these individual methods are highlighted. This article also emphasizes the practices and capabilities of leading companies, noting their current superior annual processing capacities. The transportation complexities of lithium-ion batteries are also discussed, noting that they are classified as hazardous materials and that stringent safety standards are needed for their handling. The study underscores the importance of recycling in mitigating environmental risks associated with EOL of LIBs and facilitates comparisons among the diverse recycling processes and capacities among key players in the industry.

CAN Interface Insights for Electric Vehicle Battery Recycling

Road transportation is a significant worldwide contributor to greenhouse gases, and electrifying the driveline of road vehicles is essential in overcoming the evident challenge of climate change. A sustainable transition to electric vehicles requires efficient and safe methods for recycling and repurposing used electric vehicle batteries. While various testing methods have been explored for assessing battery state of health and state of risk for recycling and reuse, a research gap exists concerning using data from integrated battery monitoring systems in the recycling process of electric vehicle batteries. This study addresses the research gap by presenting an approach to extract data from the monitoring system integrated into the battery using the automotive standard controller area network interface. In addition, methods to use this interface to ensure the optimal state of charge of the batteries for storage are presented. The benefits, challenges, and limitations set by the proprietary nature of the data to assess the state of risk and health of electric vehicle batteries for recycling and repurposing are presented, discussed, and evaluated. Finally, the influence of battery regulations and the battery passport proposal on electric vehicle battery recycling and repurposing are discussed to provide future perspectives.

Deciphering Stakeholder Strategies in Electric Vehicle Battery Recycling: Insights from a Tripartite Evolutionary Game and System Dynamics

Given that the global fleet of electric vehicles is expanding rapidly, leading to a surge in demand for power batteries, the significance of battery recycling has come sharply into focus. In this paper, we develop a tripartite evolutionary game model coupled with a system dynamics simulation approach to analyze the behavioral mechanisms of stakeholders in electric vehicle battery recycling and to identify the key factors influencing their strategic transformations. The model involves three key stakeholders: local governments, battery cathode manufacturers, and battery pack manufacturers. Through profit analysis and the formulation of a replicator dynamics system, coupled with the application of Vensim for system dynamics modeling, we analyze the effects of ten crucial exogenous variables on stakeholder strategies. Our research highlights the crucial role of government actions, such as subsidies and penalties, in directing corporate strategies. Notably, excessively high subsidies (over 2.1 million Chinese Yuan) may lead to dependency among cathode manufacturers. Market factors, including increased battery sales and the preference for low-carbon procurement by electric vehicle manufacturers, are shown to significantly motivate cathode manufacturers to adopt recycling strategies and encourage pack manufacturers to develop recyclable designs. Additionally, the introduction of EU battery regulations and the integration of cathode manufacturers into carbon trading schemes have been identified as positive catalysts for strategic shifts, especially for cathode manufacturers, while exerting minimal influence on pack manufacturers. This paper elucidates the intricate interaction of the behavioral patterns and key motivators affecting stakeholder strategies in electric vehicle battery recycling.

Current status and future research on circular business models for electric vehicle battery recycling

Current status and future research on circular business models for electric vehicle battery recycling

The evolving frontiers of sustainability and innovation: analysing China's approach to electric vehicle battery recycling

The evolving frontiers of sustainability and innovation: analysing China's approach to electric vehicle battery recycling

Technological, Organizational, and Environmental Factors Affecting the Adoption of Electric Vehicle Battery Recycling

The rising usage of electric vehicle batteries (EVBs) has led to the unprecedented accumulation of battery waste—creating environmental problems and raw material shortages as the batteries approach their end of life (EOL). This article examines the critical enablers of EVB recycling adoption. Using a theoretical lens for technology adoption, the article further explains the enablers of EVB recycling by extending the technological, organizational, and environmental framework. The present article adopts a hybrid Delphi approach to explore the interdependent cause-and-effect relationships of the enablers. The integrated framework has been tested by obtaining data from multiple stakeholder groups consisting of academic researchers, practitioners, and policy planners in India. The framework is followed by a comparative assessment of the multiple stakeholder perceptions, highlighting the similarities and differences. A consensus among all stakeholders is observed regarding the significance of a business model with take-back systems to enable EVB recycling adoption. This article shows how organizational factors strongly enable favorable decisions more than the technological and environmental counterparts. Differences were observed between the practitioners favoring technological enablers over other dimensions, while the policy planners equitably considered all dimensions, and the academic researchers showed an intermediate perspective for EVB recycling innovations. The findings offer theoretical and practical insights to help managers, organizations, and policy planners prioritize their efforts to promote EVB recycling adoption.

The evolving frontiers of sustainability and innovation: analysing Chinas approach to electric vehicle battery recycling

The evolving frontiers of sustainability and innovation: analysing Chinas approach to electric vehicle battery recycling

Optimizing Green Strategy for Retired Electric Vehicle Battery Recycling: An Evolutionary Game Theory Approach

As the global new energy vehicle (NEV) industry rapidly expands, the disposal and recycling of end-of-life (EOL) power batteries have become imperative. Efficient closed-loop supply chain (CLSC) management, supported by well-designed regulations and strategic investments, plays a crucial role in sustainable waste power battery recycling. In this study, an evolutionary game theory (EGT) methodology is used to construct a tripartite game model to investigate the interactions among manufacturers, recyclers, and the government to study the decision-making dynamics of green investments. In addition, numerical simulations are performed to evaluate the sensitivity of the relevant parameters on the stability of the evolution of the system. The results reveal that government green subsidies can stimulate early period investments in advanced recycling technologies. However, as the battery recycling industry matures, a ‘free-rider’ behavior emerges among enterprises, which can be mitigated through the imposition of a carbon tax. Eventually, as the industry reaches maturity, manufacturers and recyclers autonomously invest for enhanced profitability. This research provides valuable insights for government policy formulation, facilitating the formal recycling of retired batteries and fostering sustainability in the NEV sector.

Multi-Agent Reinforcement Learning Method for Disassembly Sequential Task Optimization Based on Human–Robot Collaborative Disassembly in Electric Vehicle Battery Recycling

Abstract With the wide application of new Electric Vehicle (EV) batteries in various industrial fields, it is important to establish a systematic intelligent battery recycling system that can be used to find out the resource wastes and environmental impacts of the retired EV battery. By combining the uncertain and dynamic disassembly and echelon utilization of EV battery recycling in the remanufacturing fields, human–robot collaboration (HRC) disassembly method can be used to solve huge challenges about the efficiency of retired EV battery recycling. In order to find out the disassembly task planning based on HRC disassembly process for retired EV battery recycling, a dynamic disassembly sequential task optimization method algorithm is proposed by Multi-Agent Reinforcement Learning (MARL). Furthermore, it is necessary to disassemble the retired EV battery disassembly trajectory based on the HRC disassembly task in 2D planar, which can be used to acquire the optimal disassembly paths in the same disassembly planar by combining the Q-learning algorithm. The disassembly task sequence can be completed through standard trajectory matching. Finally, the feasibility of the proposed method is verified by disassembly operations for a specific battery module case.

The behavioural evolution of the smart electric vehicle battery reverse supply chain under government supervision

PurposeRecycling and reuse of the electric vehicle (EV) batteries are ways to extend their limited lives. If batteries can be traced from production to recycling, it is beneficial for battery recycling and reuse. Using blockchain technology to build a smart EV battery reverse supply chain can solve the difficulties of lack of trust and data. The purpose of this study is to discuss the behavioural evolution of a smart EV battery reverse supply chain under government supervision.Design/methodology/approachThis study adopts evolutionary game theory to examine the decision-making behaviours of the government, EV manufacturers with recycled used batteries and third-party EV battery recyclers lacking professional recycling qualification.FindingsOn the smart reverse supply chain integrated by blockchain technology, a cooperative recycling strategy of the third-party EV battery recycler is the optimal choice when the government tends to actively regulate. The probability of the EV manufacturer choosing the blockchain adoption strategy exceeds (below) the threshold, and the government prefers negative (positive) supervision. According to numerical analysis, in the mature stage in the EV battery recycling industry, when the investment cost of applying blockchain is high, EV manufacturers' willingness to apply blockchain slows down, the government accelerates adopting a negative supervision strategy and third-party EV battery recyclers prefer cooperative recycling.Practical implicationsThe results of this study provide opinions on the strength of government supervision and the conditions under which EV manufacturers and third-party EV battery recyclers should apply blockchain and cooperate. On the other hand, this study provides theoretical analysis for promoting the application of blockchain technology in smart reverse supply chain.Originality/valueCompared with previous research, this study reveals the relevance of government supervision, blockchain application and cooperation strategy in smart EV battery reverse supply chain. In the initial stage, even if the subsidy (subsidy reduction rate) and penalty are high and the penalty reduction rate is low, the EV manufacturer should rather give up the application of blockchain technology. In the middle stage in the EV battery recycling industry, the government can set a lower subsidy (subsidy reduction rate) combined with a penalty or a higher penalty (penalty reduction rate) combined with a subsidy to supervise it. The third-party EV battery recycler is advised to cooperate with the EV manufacturer when the subsidy is low or the penalty is high.

An Accurate Activate Screw Detection Method for Automatic Electric Vehicle Battery Disassembly

With the increasing popularity of electric vehicles, the number of end-of-life (EOF) electric vehicle batteries (EVBs) is also increasing day by day. Efficient dismantling and recycling of EVBs are essential to ensure environmental protection. There are many types of EVBs with complex structures, and the current automatic dismantling line is immature and lacks corresponding dismantling equipment. This makes it difficult for some small parts to be disassembled precisely. Screws are used extensively in batteries to fix or connect modules in EVBs. However, due to the small size of screws and differences in installation angles, screw detection is a very challenging task and a significant obstacle to automatic EVBs disassembly. This research proposes a systematic method to complete screw detection called “Active Screw Detection”. The experimental results show that with the YOLOX-s model, the improved YOLOX model achieves 95.92% and 92.14% accuracy for both mAP50 and mAP75 positioning after autonomous adjustment of the robotic arm attitude. Compared to the method without autonomous adjustment of the robotic arm, mAP50 and mAP75 improved by 62.81% and 57.67%, respectively. In addition, the improved YOLOX model improves mAP50 and mAP75 by 0.19% and 3.59%, respectively, compared to the original YOLOX model.

Optimal configuration of electric vehicle battery recycling system under across-network cooperation

As many electric vehicle (EV) batteries are quickly approaching their end-of-life, it has become urgent for firms to establish EV battery recycling networks. Although prior studies have extensively discussed EV battery network designs, they have rarely analyzed the configuration of recycling networks from the across-network cooperation perspective. To address the research gap, we investigate the cooperative configuration decision of an EV battery recycling system that includes an incumbent EV manufacturer and an entrant based on two schemes: with or without across-network cooperation. To examine the differences between these two schemes, we develop a stylized configuration model for the incumbent and the entrant with mixed integer nonlinear programming (MINLP) that simultaneously incorporates carbon emission and government penalty. Applying a Lagrange heuristic algorithm to derive an optimal solution, we then perform simulations using realistic profiles. Our findings show that across-network cooperation effectively lowers the recycling network configuration cost for both the incumbent (decreased by 3.57% and 4.22% under the partial and full cooperation) and the entrant (dropped by 7.98% and 10.25% under the partial and full cooperation). Besides, the incumbent setting a proper processing cost coefficient can reduce its total cost, thus attracting the entrant to join in the across-network cooperation. The result also reveals that the entrant inclines to carry out the across-network cooperation in the infant stage rather than in the mature stage. Finally, although the government’s severe punishment has a positive impact on developing both EV manufacturers’ recycling networks, this kind of non-market intervention impairs the likelihood of across-network cooperation between EV manufacturers.

Performance evaluation of regulatory schemes for retired electric vehicle battery recycling within dual-recycle channels

As electric vehicles (EVs) are developing at a rapid pace, the foreseeable “scrap tide” of EV batteries poses a severe challenge to ecological protection. This article investigates a dual-recycle channel closed-loop supply chain and provides regulatory solutions to retired EV batteries' recycling. Specifically, we construct four supervision scenarios: S1 no policy intervention, S2 reward-penalty scheme, S3 deposit-refund scheme, and S4 dual scheme combining S2 and S3. Based on the Stackelberg game and empirical data, all scenarios' recycling performance is evaluated and compared with a view to “society, economy, and environment”. The results revealed: (1) Compared with S1, the recycling rate and carbon reduction rate in S2∼S4 increase by 2.6049%/0.0092%, 4.0379%/0.0285%, and 6.6660%/0.0379%, respectively; (2) The difference between S2 and S3 in recycling performance depends on regulatory intensities, yet the latter places greater burdens on consumers and firms. The S4 presents optimal environmental performance but at the expense of socioeconomic development; (3) As regulatory intensity increases, social welfare rises driven by environmental benefits, then falls due to overburdened supply chain profits, consumer surplus, and policy expenditures; (4) Carbon trading prices and EVs' potential market sizes affect regulatory schemes’ operations. Our results contribute to policy-making and managerial practices for EV battery recycling.

Toolchain for Automated Disassembly for Recycling of Electric Vehicle Batteries

In the context of the increasing focus on the circular economy and the importance of responsible use of resources, more and more attention is being paid to disassembly. While today a large part of the products are shredded and recycled as a single unit, individual components of complex products must be dismantled to reuse or recycle their materials by type. As disassembly is still done manually for many products today, this is only cost-effective for a few. To accelerate the planning process for disassembly and to make automated disassembly using multi-functional robot cells more lucrative, this paper presents a toolchain consisting of a disassembly planning assistant on the one hand and a robot programming assistant on the other. The goal is to simplify and accelerate disassembly planning. As input data, the toolchain receives the product model in a neutral data format and determines disassembly-relevant information from it. A GUI enables the manual adaptation of the data as well as the addition of additional information that cannot be extracted directly from the product model. This information is passed on to a simulation environment, which can be used to intuitively create a template program for a robot in a disassembly cell offline. In addition, evaluation criteria are derived to validate the toolchain.

Driving a sustainable road transportation transformation

Driving a sustainable road transportation transformation

Toward efficient waste electric vehicle battery recycling via auction-based market trading mechanisms

This paper proposes an auction-based market trade mechanism for the electric vehicle battery recycling (EVBR) problem, which aims to realise the optimal resource allocation and pricing of EVBR. The main motivation of this paper is to attempt to explore an approach to achieving efficient battery recycling. We first consider an EVBR market with m buyers and n sellers, and develop the multi-unit trade reduction (MTR) mechanism in the EVBR market. According to the supply and demand relationship in the EVBR market, we consider three market scenarios of supply and demand balance, oversupply, and overdemand, and formulated corresponding auction allocation rules. Numerical study results show that the proposed MTR mechanism can achieve efficient resource allocation. We also observed that not all results increased with the number of sellers/buyers. Second, considering the distance between sellers and buyers, we developed a stochastic multiple MTR (SM-MTR) mechanism to enable sellers and buyers within the region to conduct transactions. Finally, we propose an integrated MTR, SM-MTR and one-sided Vickrey–Clarke–Groves auction mechanism that is feasible in both one-sided and bilateral environments. Furthermore, our work can provide novel managerial implications for EVBR market stakeholders in terms of practical application.

Governance strategies for end-of-life electric vehicle battery recycling in China: A tripartite evolutionary game analysis

End-of-life (EOL) electric vehicle (EV) batteries have both economic and environmental benefits if recycled in an environmentally friendly manner while they may cause environmental pollution if treated improperly. China is currently working hard to promote the development of a circular economy by EOL EV battery recycling. However, conflicts of interest among electric vehicle manufacturers (EVMs), consumers, and the government often hinder efficient recycling. This study constructs a tripartite evolutionary game model under the condition of bounded rationality, analyzes the evolutionary stability strategy of three participants, and combines with numerical simulation to explore the feasible governance strategies of EOL EV battery recycling. The results show that four evolutionary stable strategies (ESSs) correspond to the three stages of the EOL EV battery recycling industry: early stage, development stage, and maturity stage. In the early stage, the punishment strategy is more critical to motivate EVMs and consumers to actively participate in battery recycling. The subsidy mechanisms can influence the strategic choices of the three participants, but the excessive subsidy is not conducive to the sustainable development of the EOL EV battery industry. In addition, when the industry matures, the government will gradually decrease intervention, thereby realizing the development path of EOL EV battery recycling from exogenous government supervision to endogenous profit drive.