Article
Energy & Fuels
Kirandeep Kaur, Akhil Garg, Xujian Cui, Surinder Singh, Bijaya Ketan Panigrahi
Summary: By utilizing data-driven modeling with measurable battery signals, this study introduced the use of deep neural networks for battery capacity estimation. The results demonstrate that the LSTM model outperforms others in accuracy, and battery temperature has a relatively minor impact on capacity estimation.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Environmental
Xiaoqian Hu, Chao Wang, Xiangyu Zhu, Cuiyou Yao, Pezhman Ghadimi
Summary: This study investigates the international trade of electric vehicle batteries from a dynamic perspective, exploring the structural evolution and hidden systemic risks from 2012 to 2019. The findings reveal the characteristics and risk distribution in the global EV-LIB trade network, providing support for managing EV-LIB trade and building a more resilient trade system.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Review
Thermodynamics
Mohammad Shahjalal, Probir Kumar Roy, Tamanna Shams, Ashley Fly, Jahedul Islam Chowdhury, Md. Rishad Ahmed, Kailong Liu
Summary: This paper provides a comprehensive overview of the present state of second-life Li-ion batteries by exploring relevant literature, including surveys on the fundamentals of Li-ion battery degradation and experimental approaches, as well as discussions on the obstacles and methods of reusing and recycling Li-ion batteries, related applications, cost issues, and business models.
Article
Energy & Fuels
Gyeongeun Baek, Tae-Uk Choi, Jung-Dae Kwon, Jang-hoon Ha, Su-jin Lee, Seung Geol Lee, Ji-Hoon Lee
Summary: The study proposes a new strategy to improve the rate capability of thick electrodes in lithium-ion batteries based on laser ablation, which generates periodically aligned channels in the electrodes. The laser-processed electrodes show improved rate capability and capacity compared to conventional electrodes due to the formation of channels and alleviated activation/concentration polarization.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
S. Micari, S. Foti, A. Testa, S. De Caro, F. Sergi, L. Andaloro, D. Aloisio, G. Napoli
Summary: Environmental climate change has prompted global efforts to reduce energy consumption and greenhouse gas emissions. The introduction of Zero-Emission Vehicles using electrical powertrains can lead to improved environmental outcomes and urban livability. Despite advancements in battery research, challenges such as cost, range anxiety, and charging infrastructure still hinder the widespread adoption of electric vehicles. Expectations are high for the development of new Li-ion batteries with advantages like high energy density and long cycle life to enhance EV performance.
ELECTRICAL ENGINEERING
(2022)
Review
Energy & Fuels
Siyan Chen, Zhenhai Gao, Tianjun Sun
Summary: This review discusses the general working mechanism of Lithium-ion batteries, the thermal runaway process, trigger conditions, material factors, and advancements in battery safety. It aims to provide a general picture of thermal runaway risks and solutions for safer battery designs.
ENERGY SCIENCE & ENGINEERING
(2021)
Review
Engineering, Electrical & Electronic
Dawei Zhang, Chen Zhong, Peijuan Xu, Yiyang Tian
Summary: This study reviews the application of deep learning in the estimation of State of Charge (SOC) for lithium batteries in electric vehicles. It analyzes the technical process, datasets, neural networks, and the advantages and disadvantages of deep learning methods for SOC estimation. The study also discusses the selection of deep learning structures for SOC estimation and highlights the challenges and future directions in this field.
Article
Engineering, Chemical
Quanwei Chen, Yukun Hou, Xin Lai, Kai Shen, Huanghui Gu, Yiyu Wang, Yi Guo, Languang Lu, Xuebing Han, Yuejiu Zheng
Summary: With the increasing usage of electric vehicles, the environmental recycling of retired lithium-ion batteries has become a pressing issue. A process-based life cycle model was established to assess the environmental impacts of different recycling routes and investigate the potential of battery remanufacturing. The results indicate that the environmental burden during recycling is mainly caused by high electricity consumption and auxiliary materials, and using recycled materials for battery remanufacturing can significantly reduce the carbon footprint and cumulative energy demand.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Energy & Fuels
Abdelilah Hammou, Raffaele Petrone, Demba Diallo, Hamid Gualous
Summary: This work proposes a method to estimate the capacity and direct current internal resistance of Li-ion batteries using already available current and voltage measurements. The estimations are validated with experimental measurements, showing a mean relative error lower than 5% for the direct current internal resistance and lower than 2% for the capacity estimation. The method is simple and suitable for embedded battery monitoring as it uses already available voltage and current measurements.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Environmental Sciences
Donghai Qiao, Gaoshang Wang, Tianming Gao, Bojie Wen, Tao Dai
Summary: The analysis on future lithium demand shows that if recovered lithium cannot be used for new lithium battery manufacturing, the surplus resources may exceed the demand in the basic demand (BD) field. However, if recovered lithium can be reused for new battery manufacturing, it will be able to meet most of the future lithium demand.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Yue Zhi, Heqi Wang, Liang Wang
Summary: This study utilizes the random forest algorithm and support vector regression algorithm, combined with the genetic algorithm-particle swarm optimization algorithm, to predict the state of health of lithium-ion batteries, achieving satisfactory estimation results. The proposed method is of great significance in evaluating the health level and driving range of batteries.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Bingyi Lu, Zhiwen Min, Xiao Xiao, Boran Wang, Biao Chen, Gongxun Lu, Yingqi Liu, Rui Mao, Yanze Song, Xian-Xiang Zeng, Yuanmiao Sun, Jinlong Yang, Guangmin Zhou
Summary: A tandem catalyst derived from spent lithium-ion batteries is synthesized and significantly accelerates the kinetics of CO2 reduction and evolution reactions. The designed interface-induced electric field regulates the adsorption and decomposition of intermediates, resulting in excellent bidirectional catalytic performance of the recycled catalyst.
ADVANCED MATERIALS
(2023)
Article
Energy & Fuels
Dario Pelosi, Michela Longo, Dario Zaninelli, Linda Barelli
Summary: A significant increase in fast-charging stations is crucial for the transition to electric vehicles. However, charging a battery pack at a higher C-rate accelerates its degradation. This paper proposes an innovative approach that considers the daily routine of an EV Li-ion battery based on a standard driving cycle, enabling the determination of the state of charge evolution for different charging C-rates. It demonstrates that fast-charging at 50 kW reduces battery lifespan by approximately 17% compared to charging in a 22 kW three-phase AC column.
Article
Engineering, Chemical
Quanwei Chen, Xin Lai, Junjie Chen, Yi Yao, Yi Guo, Mengjie Zhai, Xuebing Han, Languang Lu, Yuejiu Zheng
Summary: Although recycling retired lithium-ion batteries can help address global warming and the energy crisis, the environmental impacts of different recycling routes need further evaluation. This study quantifies and compares the environmental indicators of three hydrometallurgical recycling and remanufacturing routes in China, and assesses the potential of reducing environmental impacts through battery remanufacturing with recycled materials. The results show that different chemical reagents, energy consumption, and processes result in variations in environmental indicators, and battery manufacturing with recycled materials can significantly reduce environmental impacts compared to using raw materials.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Energy & Fuels
Wei Jie Tan, Christina Mei Mei Chin, Akhil Garg, Liang Gao
Summary: In order to improve the efficiency of disassembling EV batteries, a framework has been proposed which focuses on optimizing parameters such as design, safety, and cost to reduce overall steps. The framework includes a hybrid disassembly workstation utilizing modified robotic arms and specialized tools to significantly decrease disassembly time.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
