Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective

Lai, Xin; Chen, Quanwei; Tang, Xiaopeng; Zhou, Yuanqiang; Gao, Furong; Guo, Yue; Bhagat, Rohit; Zheng, Yuejiu

doi:10.1016/j.etran.2022.100169

Cited by 237 publications

(68 citation statements)

References 216 publications

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“…While BEVs are generally considered beneficial to the environment in terms of reducing harmful emissions, there are studies against their worth, especially regarding the increased fossil fuels used at power plants to generate electricity for charging BEVs [21,22]. Battery production significantly impacts the environment and resources, and battery materials recycling and remanufacturing present considerable environmental and economic values [57]. At the macro level, the global environmental impact may be worse with more electric cars than with modern, fuel-efficient ICEVs due to the way electricity is generated.…”

Section: Advantages and Disadvantages Of Battery Electric Vehiclesmentioning

confidence: 99%

Challenges and Opportunities for Future BEVs Adoption in Croatia

Emanović¹,

Jakara

Barić

2022

Sustainability

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Electric vehicles (EVs) represent a revolution and the beginning of a new era in the development of the automotive industry. This study investigates the advantages and disadvantages of battery electric vehicles (BEVs) and the possibilities of their better future adoption in the Republic of Croatia. Based on an in-depth analysis of the current status of BEVs in Croatia, the study shows that the number of passenger BEVs and charging stations are constantly increasing. However, despite the many advantages of BEVs, such as a reduction in urban air pollution, reduction in greenhouse gas emissions, noise-free, less dependence on oil as a fuel, etc., there also are certain disadvantages, such as a limited range of vehicles, the correlation with an insufficient number of charging stations on the transport network as a whole, storage of lithium-ion batteries, maintenance of electric vehicles, high prices, and the safety of BEVs in the road traffic system. The practical implications of BEVs’ positive and negative effects and challenges for increasing their implementation in Croatia are discussed. The results and findings from this research could present a base for policymakers and decisionmakers to formulate policies and strategies to improve the opportunities for the adoption of BEVs in Croatia.

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Section: Advantages and Disadvantages Of Battery Electric Vehiclesmentioning

confidence: 99%

Challenges and Opportunities for Future BEVs Adoption in Croatia

Emanović¹,

Jakara

Barić

2022

Sustainability

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“…Typically, such benefits are demonstrated using life-cycle analysis (LCA) -a methodology commonly used to evaluate the environmental impacts of products and services across their entire life-cycle (Hellweg et al, 2014). Numerous LCA studies have been conducted to determine and compare the environmental impacts of EVs with petroleum-based vehicles (Dolganova et al, 2020;Verma et al, 2022), including using Argonne's GREET ® model (Asaithambi et al, 2019;Dai et al, 2019;Kelly et al, 2022;Lai et al, 2022;Shafique and Luo, 2022;Yin et al, 2021). Overall, the studies highlight the significance of LIBs for an EV's environmental performance, particularly during its vehicle-cycle (i.e., production phase), and attribute it to several factors, with anodes playing a notable role (Dai et al, 2019;Kelly et al, 2019;Winjobi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Updated Production Inventory for Lithium-Ion Battery Anodes for the GREET® Model, and Review of Advanced Battery Chemistries

Iyer

Kelly

2022

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The Greenhouse gases, Regulated Emissions, and Energy use in Technologies (GREET®) model considers lithium-ion batteries with multiple anode materials. Synthetic graphite is the primary anode material used in the previous GREET versions, even as the model offered options to choose a lithium anode and/or a blended anode (blend of synthetic graphite and silicon). Yet, the inventory (material and energy flows) considered for these anodes is dated, and the anode options do not consider natural graphite, which is another important anode material for lithium-ion batteries. This report documents the material and energy flows for natural graphite anode production from raw material extraction to anode production -as incorporated in the updated GREET model. We also present a brief literature review on the current state of inventory for the other three anodes (synthetic graphite, silicon, and lithium), as well as updates made in the recent GREET model on material and energy flows associated with their respective production. Finally, this study provides a summary of advanced battery systems that may be alternatives to LIBs for use in future electric vehicles.

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“…Lithium-ion batteries (LIBs) are the ideal energy storage device for EVs, and their safe and feasible application as a power source can contribute to their value in their entire lifespan, which can promote secondary utilization and material recycling, conducting the carbon footprint in the battery production and recycling stages [3]. Hence, the safety and reliability of LIBs in EVs have been spotlighted.…”

Section: Introductionmentioning

confidence: 99%

Life Prediction under Charging Process of Lithium-Ion Batteries Based on AutoML

et al. 2022

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Accurate online capacity estimation and life prediction of lithium-ion batteries (LIBs) are crucial to large-scale commercial use for electric vehicles. The data-driven method lately has drawn great attention in this field due to efficient machine learning, but it remains an ongoing challenge in the feature extraction related to battery lifespan. Some studies focus on the features only in the battery constant current (CC) charging phase, regardless of the joint impact including the constant voltage (CV) charging phase on the battery aging, which can lead to estimation deviation. In this study, we analyze the features of the CC and CV phases using the optimized incremental capacity (IC) curve, showing the strong relevance between the IC curve in the CC phase as well as charging capacity in the CV phase and battery lifespan. Then, the life prediction model based on automated machine learning (AutoML) is established, which can automatically generate a suitable pipeline with less human intervention, overcoming the problem of redundant model information and high computational cost. The proposed method is verified on NASA’s LIBs cycle life datasets, with the MAE increased by 52.8% and RMSE increased by 48.3% compared to other methods using the same datasets and training method, accomplishing an obvious enhancement in online life prediction with small-scale datasets.

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Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective

Cited by 237 publications

References 216 publications

Challenges and Opportunities for Future BEVs Adoption in Croatia

Challenges and Opportunities for Future BEVs Adoption in Croatia

Updated Production Inventory for Lithium-Ion Battery Anodes for the GREET® Model, and Review of Advanced Battery Chemistries

Life Prediction under Charging Process of Lithium-Ion Batteries Based on AutoML

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