Design Strategies for Battery Energy Storage and Electric Vehicles to Promote Circular Economy

Topic Information

Dear Colleagues,

With the growing adoption of electric vehicles (EV) and the increased electrification of transportation, there is an anticipation of widespread proliferation of battery energy storage devices and systems in the entire supply chain which requires careful planning to ensure that the market eco-system is truly contributing to the circular economy. Multi-faceted design strategies for the EV charging infrastructure including battery swapping, re-use, recycling, and green disposal are necessary to ensure that the original motivation of decarbonization and holistic sustainability is not compromised. We invite papers from academic scholars, industry leaders, and national public sector planners for them to share their current design thinking, latest technological advancements, standards, certification, and policies to achieve this goal. Sub-topics include but are not limited to:

• Green charging infrastructure—design for sustainability
• Battery swapping concepts and technologies
• Battery re-use, re-conditioning, recycling and n-life batteries
• Battery condition monitoring and health prognosis
• Battery and electric vehicle eco-systems
• Battery safety considerations and design for safety
• Battery and EV testing and certification
• Battery supply chain traceability
• Battery energy storage circular economy—policies and strategies
• Batteries and greenhouse emissions
• Sustainable energy storage devices, systems, and designs

Prof. Dr. King Jet Tseng
Dr. Davy Cheong
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Batteries batteries	4.6	4.0	2015	19.7 Days	CHF 2700	Submit
Designs designs	-	3.9	2017	21.7 Days	CHF 1600	Submit
Energies energies	3.0	6.2	2008	16.8 Days	CHF 2600	Submit
Sustainability sustainability	3.3	6.8	2009	19.7 Days	CHF 2400	Submit
World Electric Vehicle Journal wevj	2.6	4.5	2007	16.2 Days	CHF 1400	Submit

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Published Papers (2 papers)

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All Batteries Designs Energies Sustainability WEVJ

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15 pages, 3957 KiB  

Open AccessArticle

Lithium-Ion Battery Life Prediction Using Deep Transfer Learning

by Wen Zhang, R. S. B. Pranav, Rui Wang, Cheonghwan Lee, Jie Zeng, Migyung Cho and Jaesool Shim

Batteries 2024, 10(12), 434; https://doi.org/10.3390/batteries10120434 - 6 Dec 2024

Viewed by 1683

Abstract

Lithium-ion batteries are critical components of various advanced devices, including electric vehicles, drones, and medical equipment. However, their performance degrades over time, and unexpected failures or discharges can lead to abrupt operational interruptions. Therefore, accurate prediction of the remaining useful life is essential [...] Read more.

Lithium-ion batteries are critical components of various advanced devices, including electric vehicles, drones, and medical equipment. However, their performance degrades over time, and unexpected failures or discharges can lead to abrupt operational interruptions. Therefore, accurate prediction of the remaining useful life is essential to ensure device safety and reliability. Conventional RUL prediction methods typically rely on regression analysis, signal processing, and machine learning techniques to assess battery conditions such as charge/discharge cycles, voltage, temperature, and durability. Although effective, these approaches are constrained by their dependence on large amounts of labeled data and the necessity for complex feature engineering to capture battery physical characteristics. In this study, we propose an approach that employs deep transfer learning to address these limitations. By leveraging pretrained model weights, the proposed method significantly improves the efficiency and accuracy of RUL prediction even under limited training data conditions. Furthermore, we investigate the impact of external environmental factors and physical battery characteristics on RUL prediction precision, thereby contributing to a more robust and reliable prediction framework. Full article

(This article belongs to the Topic Design Strategies for Battery Energy Storage and Electric Vehicles to Promote Circular Economy)

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18 pages, 6244 KiB  

Open AccessArticle

Research on Power Battery Recycling in the Green Closed-Loop Supply Chain: An Evolutionary Game-Theoretic Analysis

by Gang Li, Mengyu Lu, Sen Lai and Yonghong Li

Sustainability 2023, 15(13), 10425; https://doi.org/10.3390/su151310425 - 2 Jul 2023

Cited by 9 | Viewed by 3322

Abstract

The used power batteries of new energy vehicles have become a combined issue of environmental pollution, resource scarcity, and economic sustainability. Power battery recycling is inevitably becoming the key link in the formation of the green closed-loop supply chain for new energy vehicles [...] Read more.

The used power batteries of new energy vehicles have become a combined issue of environmental pollution, resource scarcity, and economic sustainability. Power battery recycling is inevitably becoming the key link in the formation of the green closed-loop supply chain for new energy vehicles and the green cycle of the new energy vehicles industry. This study establishes a three-party evolutionary game model of “new energy vehicle manufacturers, power battery manufacturers, and power battery recyclers”, simulates the dynamic evolution process of each game player’s strategy, and analyzes the effects of the digital transformation factor and other factors leading to the evolution trend. The main results show that: (i) in the absence of sufficient incentives and constraints, the green closed-loop power battery supply chain cannot be formed naturally; (ii) digital transformation is an important factor in the journey of the green closed-loop supply chain for power battery recycling, and (iii) government rewards and penalties can promote the formation of the green closed-loop supply chain for power batteries. This research innovatively investigates the concept of the green closed-loop power battery supply chain and its formation mechanism, which provides theoretical support to promote the recycling of used power batteries to achieve sustainability. Full article

(This article belongs to the Topic Design Strategies for Battery Energy Storage and Electric Vehicles to Promote Circular Economy)

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