scholarly journals Research on Spent LiFePO4 Electric Vehicle Battery Disposal and Its Life Cycle Inventory Collection in China

2020 ◽  
Vol 17 (23) ◽  
pp. 8828
Author(s):  
Lingyun Zhu ◽  
Ming Chen
Keyword(s):  
Life Cycle ◽  
Electric Vehicle ◽  
Life Cycle Inventory ◽  
Precious Metals ◽  
Lithium Ion ◽  
Mass Conservation ◽  
Research Direction ◽  
Analysis Data ◽  
Main Research ◽  
Background Database

The main research direction for the disposal of spent lithium-ion batteries is focused on the recovery of precious metals. However, few studies exist on the recycling of LiFePO4 electric vehicle (EV) batteries because of their low recycling value. In addition, a detailed life cycle inventory (LCI) of waste plays a significant role in its life cycle assessment (LCA) for an environmental perspective. In this study, an end-of-life (EOL) LiFePO4 EV battery is disposed to achieve the LCI result. The approach comprises manual dismantling of the battery pack/module and crushing and pyrolysis of cells. The authors classify the dismantling results and use different disposal methods, such as recycling or incineration. Regarding the environmental emissions during pyrolysis, the authors record and evaluate the results according to the experimental data, the bill of materials (BOM), the mass conservation, and the chemical reaction equations. In addition, the electricity power demand is related to the electricity mix in China, and the waste gases and solid residue are treated by using neutralization and landfill, respectively. Finally, the authors integrate the LCI data with analysis data and a background database (Ecoinvent). After the integration of the total emission and consumption data, the authors obtained the total detailed LCI resulting from the disposal of the LiFePO4 vehicle battery. This LCI mainly includes the consumption of energy and materials, and emissions to air, water, and soil, which can provide the basis for the future LCA of LiFePO4 (LFP) batteries. Furthermore, the potential of industrial scale process research on the disposal of spent LiFePO4 batteries is discussed.

A comparative life cycle assessment on lithium-ion battery: Case study on electric vehicle battery in China considering battery evolution

2020 ◽  
pp. 0734242X2096663 ◽  
Author(s):  
Shuoyao Wang ◽  
Jeongsoo Yu
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Lithium Ion Battery ◽  
Electric Vehicle ◽  
Lithium Ion ◽  
Collection Rate ◽  
Recycling Industry ◽  
Battery Recycling ◽  
The Future

China has become the largest electric vehicle (EV) market in the world since 2015. Consequently, the lithium-ion battery (LiB) market in China is also expanding fast. LiB makers are continually introducing new types of LiBs into the market to improve LiBs’ performance. However, there will be a considerable amount of waste LiBs generated in China. These waste LiBs should be appropriately recycled to avoid resources’ waste or environmental pollution problems. Yet, because LiBs’ type keeps changing, the environmental impact and profitability of the waste LiB recycling industry in China become uncertain. In this research, we reveal the detailed life cycle process of EVs’ LiBs in China first. Then, the environmental impact of each type of LiB is speculated using the life cycle assessment (LCA) method. Moreover, we clarify how LiBs’ evolution will affect the economic effect of the waste battery recycling industry in China. We perform a sensitivity analysis focusing on waste LiBs’ collection rate. We found that along with LiBs’ evolution, their environmental impact is decreasing. Furthermore, if waste LiBs could be appropriately recycled, their life cycle environmental impact would be further dramatically decreased. On the other hand, the profitability of the waste battery recycling industry in China would decrease in the future. Moreover, it is essential to improve waste LiBs’ collection rate to establish an efficient waste LiB industry. Such a trend should be noticed by the Chinese government and waste LiB recycling operators to establish a sustainable waste LiB recycling industry in the future.

scholarly journals Scalable Life-Cycle Inventory for Heavy-Duty Vehicle Production

2020 ◽  
Vol 12 (13) ◽  
pp. 5396
Author(s):  
Sebastian Wolff ◽  
Moritz Seidenfus ◽  
Karim Gordon ◽  
Sergio Álvarez ◽  
Svenja Kalt ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
Energy Demand ◽  
Combustion Engine ◽  
Lithium Ion ◽  
Secondary Data ◽  
Primary Energy ◽  
Heavy Duty ◽  
Primary Energy Demand ◽  
Vehicle Production

The transportation sector needs to significantly lower greenhouse gas emissions. European manufacturers in particular must develop new vehicles and powertrains to comply with recent regulations and avoid fines for exceeding C O 2 emissions. To answer the question regarding which powertrain concept provides the best option to lower the environmental impacts, it is necessary to evaluate all vehicle life-cycle phases. Different system boundaries and scopes of the current state of science complicate a holistic impact assessment. This paper presents a scaleable life-cycle inventory (LCI) for heavy-duty trucks and powertrains components. We combine primary and secondary data to compile a component-based inventory and apply it to internal combustion engine (ICE), hybrid and battery electric vehicles (BEV). The vehicles are configured with regard to their powertrain topology and the components are scaled according to weight models. The resulting material compositions are modeled with LCA software to obtain global warming potential and primary energy demand. Especially for BEV, decisions in product development strongly influence the vehicle’s environmental impact. Our results show that the lithium-ion battery must be considered the most critical component for electrified powertrain concepts. Furthermore, the results highlight the importance of considering the vehicle production phase.

scholarly journals Cycle-Life Curves Determination and Modelling of Commercially Available Electric Vehicle Batteries

2021 ◽  
Vol 19 ◽  
pp. 287-292
Author(s):  
G. Saldaña ◽  
◽  
José Ignacio San Martín ◽  
F.J. Asensio ◽  
Inmaculada Zamora ◽  
...  
Keyword(s):  
Life Cycle ◽  
Electric Vehicle ◽  
Lithium Ion ◽  
Cycle Life ◽  
Transport Sector ◽  
State Of Health ◽  
Storage Technology ◽  
Life Cycle Optimization ◽  
Global Emissions ◽  
Charge Discharge

In recent decades, there has been a growing concern about the trend of global emissions, and in particular those of the transport sector. In this context, the electric vehicle is a promising technology, with some barriers still to be overcome. Among these deficiencies everything related to storage technology is found. In this sense, lithium-ion batteries are one of the options to be considered, although it is necessary to continuously monitor the state of health. Cycle life vs DoD curves are very useful for characterizing profitability in any application that considers battery storage, as well as life cycle optimization studies. Cycle life refers to the number of charge-discharge cycles that a battery can provide before performance decreases to an extent that it cannot perform the required functions (e.g., 80% compared to a fresh one in electromobility applications). In this paper, a model for calculating the Cycle Life vs DoD curves is proposed, applied to a commercially available electric vehicle, the Renault Zoe. Modelling results show R squared coefficient of determinations above 0.9890.

A cascaded life cycle: reuse of electric vehicle lithium-ion battery packs in energy storage systems

2015 ◽  
Vol 22 (1) ◽  
pp. 111-124 ◽  
Author(s):  
Leila Ahmadi ◽  
Steven B. Young ◽  
Michael Fowler ◽  
Roydon A. Fraser ◽  
Mohammad Ahmadi Achachlouei
Keyword(s):  
Life Cycle ◽  
Energy Storage ◽  
Lithium Ion Battery ◽  
Electric Vehicle ◽  
Storage Systems ◽  
Lithium Ion ◽  
Energy Storage Systems ◽  
Battery Packs

Gate-to-Gate Life Cycle Inventory and Model of CO2-Enhanced Oil Recovery (Presentation)

2013 ◽  
Author(s):  
Greg Cooney ◽  
James Littlefield ◽  
Joe Marriott ◽  
Matt Jamieson ◽  
Robert E James III PhD ◽  
...  
Keyword(s):  
Life Cycle ◽  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Life Cycle Inventory

scholarly journals Advances of 2nd Life Applications for Lithium Ion Batteries from Electric Vehicles Based on Energy Demand

2021 ◽  
Vol 13 (10) ◽  
pp. 5726
Author(s):  
Aleksandra Wewer ◽  
Pinar Bilge ◽  
Franz Dietrich
Keyword(s):  
Life Cycle ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Energy Demand ◽  
Lithium Ion ◽  
Life Cycles ◽  
Future Research ◽  
Research Areas ◽  
Study Results ◽  
The Impact

Electromobility is a new approach to the reduction of CO2 emissions and the deceleration of global warming. Its environmental impacts are often compared to traditional mobility solutions based on gasoline or diesel engines. The comparison pertains mostly to the single life cycle of a battery. The impact of multiple life cycles remains an important, and yet unanswered, question. The aim of this paper is to demonstrate advances of 2nd life applications for lithium ion batteries from electric vehicles based on their energy demand. Therefore, it highlights the limitations of a conventional life cycle analysis (LCA) and presents a supplementary method of analysis by providing the design and results of a meta study on the environmental impact of lithium ion batteries. The study focuses on energy demand, and investigates its total impact for different cases considering 2nd life applications such as (C1) material recycling, (C2) repurposing and (C3) reuse. Required reprocessing methods such as remanufacturing of batteries lie at the basis of these 2nd life applications. Batteries are used in their 2nd lives for stationary energy storage (C2, repurpose) and electric vehicles (C3, reuse). The study results confirm that both of these 2nd life applications require less energy than the recycling of batteries at the end of their first life and the production of new batteries. The paper concludes by identifying future research areas in order to generate precise forecasts for 2nd life applications and their industrial dissemination.

scholarly journals Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 651
Author(s):  
Shengyi Zhao ◽  
Yun Peng ◽  
Jizhan Liu ◽  
Shuo Wu
Keyword(s):  
Neural Network ◽  
High Performance ◽  
Model Comparison ◽  
Research Direction ◽  
Disease Diagnosis ◽  
Tomato Leaf ◽  
Identification Accuracy ◽  
Main Research ◽  
Proposed Model ◽  
Complex Features

Crop disease diagnosis is of great significance to crop yield and agricultural production. Deep learning methods have become the main research direction to solve the diagnosis of crop diseases. This paper proposed a deep convolutional neural network that integrates an attention mechanism, which can better adapt to the diagnosis of a variety of tomato leaf diseases. The network structure mainly includes residual blocks and attention extraction modules. The model can accurately extract complex features of various diseases. Extensive comparative experiment results show that the proposed model achieves the average identification accuracy of 96.81% on the tomato leaf diseases dataset. It proves that the model has significant advantages in terms of network complexity and real-time performance compared with other models. Moreover, through the model comparison experiment on the grape leaf diseases public dataset, the proposed model also achieves better results, and the average identification accuracy of 99.24%. It is certified that add the attention module can more accurately extract the complex features of a variety of diseases and has fewer parameters. The proposed model provides a high-performance solution for crop diagnosis under the real agricultural environment.

scholarly journals Social Life Cycle Inventory for Pavements – A Case Study of South Africa

2021 ◽  
Vol 4 ◽  
pp. 100060
Author(s):  
Sheldon A. Blaauw ◽  
James W. Maina ◽  
Louis J. Grobler
Keyword(s):  
South Africa ◽  
Life Cycle ◽  
Life Cycle Inventory ◽  
Social Life
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