Review
Chemistry, Multidisciplinary
Zhiming Zhao, Husam N. Alshareef
Summary: This review provides an extensive overview of the current status and future prospects of sustainable dual-ion batteries beyond Li-ion. These new batteries utilize abundant and low-cost cations, holding significant promise for large-scale energy storage solutions.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Physical
A. Senyshyn, V Baran, M. J. Muehlbauer, M. Etter, M. Schulz, K. Tu, Y. Yang
Summary: This study utilized a combination of high-resolution neutron powder diffraction, energy-dependent cold-neutron radiography, and synchrotron-based X-ray diffraction radiography on pouch bag cells to probe the crystal structure evolution and uniformity in cell electrodes. A phase transition from rhombohedral to monoclinic was detected in both custom-built cells utilizing LiCoO2 and LiNi0.5Mn0.2Co0.3O2 cathodes. X-ray diffraction radiography revealed heterogeneous lithium distribution in the graphite anode and cathodes.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Chemistry, Physical
Antonis Vamvakeros, Dorota Matras, Thomas E. Ashton, Alan A. Coelho, Hongyang Dong, Dustin Bauer, Yaroslav Odarchenko, Stephen W. T. Price, Keith T. Butler, Olof Gutowski, Ann-Christin Dippel, Martin von Zimmerman, Jawwad A. Darr, Simon D. M. Jacques, Andrew M. Beale
Summary: Synchrotron high-energy X-ray diffraction computed tomography has been employed to investigate the cycling performance of commercial cylindrical Li-ion batteries for the first time, showing its potential in detecting internal battery structure and chemical composition.
Article
Chemistry, Physical
Dominik Petz, Volodymyr Baran, Christoph Peschel, Martin Winter, Sascha Nowak, Michael Hofmann, Robert Kostecki, Rainer Niewa, Michael Bauer, Peter Mueller-Buschbaum, Anatoliy Senyshyn
Summary: This study conducted low-temperature research on high-energy lithium-ion batteries using various techniques, finding that fatigue state significantly impacts battery performance, with electrolyte decomposition playing a crucial role in battery degradation.
ADVANCED ENERGY MATERIALS
(2022)
Article
Energy & Fuels
Weijiang Xue, Mingjun Huang, Yutao Li, Yun Guang Zhu, Rui Gao, Xianghui Xiao, Wenxu Zhang, Sipei Li, Guiyin Xu, Yang Yu, Peng Li, Jeffrey Lopez, Daiwei Yu, Yanhao Dong, Weiwei Fan, Zhe Shi, Rui Xiong, Cheng-Jun Sun, Inhui Hwang, Wah-Keat Lee, Yang Shao-Horn, Jeremiah A. Johnson, Ju Li
Summary: The authors have developed a sulfonamide-based electrolyte that allows for stable cycling of LiNi0.8Co0.1Mn0.1O2 in lithium metal batteries at a cutoff voltage of 4.7 V, achieving a specific capacity >230 mA h g(-1) and an average Coulombic efficiency >99.65% over 100 cycles. The 4.7 V lithium-metal battery can retain >88% capacity for 90 cycles even under harsh testing conditions, advancing practical lithium-metal batteries.
Review
Chemistry, Physical
Jedrzej Piatek, Semih Afyon, Tetyana M. Budnyak, Serhiy Budnyk, Mika H. Sipponen, Adam Slabon
Summary: The commercial success of Li-ion batteries in the 1990s has led to environmental hazards from disposed batteries, raising questions about the greenness of current recycling technologies. Although industrially applied recycling technologies may have high overall efficiency, they often lack true circularity principles, which calls for a shift towards more sustainable and energy-efficient processes in the recycling of LIBs.
ADVANCED ENERGY MATERIALS
(2021)
Article
Chemistry, Physical
Woonbae Sohn, Ji Su Chae, Geon Hae Lim, Kwang Chul Roh
Summary: A Li0.27K0.72Ni0.6Co0.2Mn0.2O2 (LKNCM) cathode obtained via ion exchange shows promising potential for potassium-ion batteries (PIBs). The morphological and structural changes during K+ ion insertion were revealed, and the extracted Li+ ions and inserted K+ ions were found to be comparable in quantity.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Chemistry, Multidisciplinary
Kavish Kaup, Abdeljalil Assoud, Jue Liu, Linda F. Nazar
Summary: Lithium thioborate halides are a new class of fast lithium-ion conducting materials with a superadamantanoid structure, exhibiting high ionic conductivities up to 1.4 mS cm(-1) that can be effectively tuned by the polarizability of the halide anion within the channels.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2021)
Article
Multidisciplinary Sciences
Elena D. Orlova, Aleksandra A. Savina, Sergey A. Abakumov, Anatolii Morozov, Artem M. Abakumov
Summary: The study investigated the disordering of Li+ and Ni2+ in LiNi(x)Mn yCo(z)O(2) materials, finding that the I-003/I-104 integral intensity ratio can serve as a quantitative measure, while the c/(2 root 6a) ratio is not reliable for quantitative estimates.
Article
Energy & Fuels
B. E. Lebrouhi, S. Baghi, B. Lamrani, E. Schall, T. Kousksou
Summary: This article provides an in-depth assessment of crucial rare earth elements and discusses their importance in energy transition from different perspectives. It also lists the risks and concerns associated with the value chain of critical materials and presents strategies to address these issues.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
Sergey Yu. Luchkin, Maria A. Kirsanova, Dmitry A. Aksyonov, Svetlana A. Lipovskikh, Victoria A. Nikitina, Artem M. Abakumov, Keith J. Stevenson
Summary: Li-rich layered metal oxides have been extensively studied as potential positive electrode materials for Li-ion batteries. This research investigates the cycling-driven electrochemical activation process in Li-rich materials, which leads to an increase in reversible capacity. The activation process involves oxidation and reduction reactions, with the rate being influenced by the cycling rate.
ACS APPLIED ENERGY MATERIALS
(2022)
Review
Chemistry, Inorganic & Nuclear
Aditya Narayan Singh, Kamrul Hassan, Chinna Bathula, Kyung-Wan Nam
Summary: This review presents current knowledge about the degradation mechanism of lithium-ion batteries, focusing on the fundamentals, novel materials, and theoretical models. It emphasizes that the degradation process is not only related to charge-discharge cycles, but also influenced by synthesis-induced stress.
DALTON TRANSACTIONS
(2023)
Article
Chemistry, Physical
Jingjie Liu, Yifei Yuan, Xiaowei Guo, Bao Li, Reza Shahbazian-Yassar, Dai-Huo Liu, Zhongwei Chen, Khalil Amine, Jun Lu, Lin Yang, Zhengyu Bai
Summary: The morphology and crystallinity of electrode materials play a crucial role in their charge carrier storage properties in rechargeable batteries. By designing electrode particles consisting of numerous nanograins with uniform crystalline orientation, both high surface area and high structural integrity can be achieved, significantly improving Li+ storage kinetics and performance. The mesocrystalline NiCo2O4 electrode exhibits a high specific capacity of 1403 mAh g(-1) after 200 cycles at 1.6 A g(-1) (a rate of 1.8 C), demonstrating the effectiveness of this strategy in enhancing battery performance.
ADVANCED ENERGY MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Guangdong Liu, Yang He, Zhixiao Liu, Hui Wan, Yaobin Xu, Huiqiu Deng, Hui Yang, Ji-Guang Zhang, Peter V. V. Sushko, Fei Gao, Chongmin Wang, Yingge Du
Summary: By using in situ transmission electron microscopy and density functional theory calculations, the influence of planar defects on the diffusion pathways and transport kinetics of Li ions in a tungsten trioxide lattice is revealed. It is found that planar defects disrupt the continuity of ion conduction channels by altering the charge distribution and lattice spacing, leading to a significant increase in energy barrier for Li diffusion. This atomic-level understanding has important implications for rational interface design in solid-state batteries and solid oxide fuel cells.
Article
Chemistry, Multidisciplinary
Laura Sierra, Carlos Gibaja, Inigo Torres, Elena Salagre, Juan Ramon Aviles Moreno, Enrique G. Michel, Pilar Ocon, Felix Zamora
Summary: The study reports the first use of a new material, alpha-germanium nanolayers, as anode material for high-performance LIBs, showing excellent performance in terms of specific capacity and cycling stability.
Article
Engineering, Electrical & Electronic
Wei Li, Yi Xie, Xiaosong Hu, Yangjun Zhang, Huihui Li, Xianke Lin
Summary: An SOC-SOTD joint estimation algorithm is proposed for a pouch lithium-ion battery, which accurately estimates the temperature distribution and corrects the SOC and average internal temperature.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Xiaolin Tang, Bing Huang, Teng Liu, Xianke Lin
Summary: The study developed a decision-making and motion planning controller using deep reinforcement learning for highway driving scenario, aiming to achieve safety, efficiency, and comfort of automated vehicles. The proposed method successfully addressed decision-making and planning problems in interactive traffic environment, enabling safe lane changes and high-speed cruising.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Energy & Fuels
Liuchao Xu, Zhiheng Pan, Chuandong Liang, Min Lu
Summary: This article proposes a fault detection method for PV arrays based on the I-V characteristic, using an improved FCM algorithm to identify faults. By extracting feature parameters and reclassifying, the method achieves high accuracy and simplicity.
IEEE JOURNAL OF PHOTOVOLTAICS
(2022)
Article
Engineering, Electrical & Electronic
Xiaolin Tang, Jieming Zhang, Dawei Pi, Xianke Lin, Lech M. Grzesiak, Xiaosong Hu
Summary: This article proposes a battery health-aware and deep reinforcement learning energy management framework for power-split hybrid electric vehicles in a naturalistic driving scenario. The framework utilizes data-driven methods to establish driving scenarios and embeds expert knowledge into the deep deterministic policy gradient for faster convergence and guaranteed vehicle performance. The proposed strategy optimizes the tradeoff among fuel consumption, battery aging cost, and state of charge sustainability penalty, and outperforms existing strategies in terms of battery aging and iterative convergence.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Energy & Fuels
Ashikur Rahman, Xianke Lin, Chongming Wang
Summary: This paper presents a novel method using the battery's casing as a reference electrode to estimate the anode SOC and capacity fade of individual batteries in a battery pack. The proposed method can monitor the degradation of the individual batteries and the battery pack in real time.
Article
Engineering, Civil
Bin Xu, Xiaolin Tang, Xiaosong Hu, Xianke Lin, Huayi Li, Dhruvang Rathod, Zhe Wang
Summary: The study investigates the adaptability of Q-learning based supervisory control for HEVs, comparing it with other control strategies and finding that the Q-learning control shows strong adaptability under different conditions, leading the fuel economy among all supervisory controls in all three varying conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Review
Engineering, Electrical & Electronic
Xiaosong Hu, Xinchen Deng, Feng Wang, Zhongwei Deng, Xianke Lin, Remus Teodorescu, Michael G. Pecht
Summary: This article reviews the research progress of second-life lithium-ion batteries for stationary energy storage applications, including battery aging mechanisms, repurposing, modeling, battery management, and optimal sizing. Energy management strategies and less-demanding applications for maximizing economic benefits of second-life batteries are discussed, and the technical challenges and future development trends of battery reusing technologies are explored.
PROCEEDINGS OF THE IEEE
(2022)
Review
Chemistry, Multidisciplinary
Yunhong Che, Xiaosong Hu, Xianke Lin, Jia Guo, Remus Teodorescu
Summary: This paper provides a comprehensive review of aging mechanisms and health prognostic methods for lithium-ion batteries, and discusses the main challenges and research prospects. The complex relationships between aging mechanisms, modes, factors, and types are summarized. Prognostic methods are categorized based on time scales and objectives, followed by detailed reviews and comparative evaluations. Key challenges are presented and potential solutions are discussed. Future trends and new ideas for battery health prognostics are proposed.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Automation & Control Systems
Kai Zhang, Lulu Jiang, Zhongwei Deng, Yi Xie, Jonathan Couture, Xianke Lin, Jingjing Zhou, Xiaosong Hu
Summary: This article proposes a fault diagnosis method for the early detection and assessment of soft internal short-circuit faults in lithium-ion battery packs, ensuring the safe operation of electric vehicles. Fault features are extracted from the data using the incremental capacity curve, making them easier to identify than small voltage differences. The local outlier factor method is then used to detect the early soft internal short-circuit fault by calculating the local outlier factor value of each cell within the battery pack.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Analytical
Sabir Hossain, Xianke Lin
Summary: This paper presents a strategy to obtain a real-time pseudo point cloud from image sensors instead of LiDARs, achieving better performance in terms of real-time operation and accuracy. Different depth estimators are used to generate pseudo point clouds similar to LiDAR, outperforming existing approaches in terms of both depth estimation and point cloud generation speed.
Article
Engineering, Electrical & Electronic
Yongli Chen, Shen Li, Xiaolin Tang, Kai Yang, Dongpu Cao, Xianke Lin
Summary: This article proposes an interaction-aware decision-making approach for autonomous vehicles, which models the interaction between vehicles and pedestrians, and balances safety and efficiency through optimization.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Electrical & Electronic
Nan Zhao, Fengqi Zhang, Yalian Yang, Serdar Coskun, Xianke Lin, Xiaosong Hu
Summary: This article proposes a predictive energy management strategy for connected plug-in hybrid electric vehicles (PHEVs) based on real-time dynamic traffic prediction. The strategy involves predicting future traffic information using a wavelet neural network (WNN) and optimizing the parameters of the network using a particle swarm optimization (PSO) algorithm. A long short-term memory-based velocity predictor is also proposed for the strategy. The performance of the strategy is verified using actual traffic data and results show improvements in fuel economy of 17.57% and 28.19% respectively.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Le Xu, Zhongwei Deng, Yi Xie, Xianke Lin, Xiaosong Hu
Summary: This study proposes a novel hybrid method that combines physics-based and data-driven approaches to achieve early prediction of battery capacity degradation trajectory. The method extracts a hybrid feature using an electrochemical model and measured voltage data, and utilizes clustering and data augmentation techniques to train a deep neural network for prediction. The method provides accurate predictions using only 20% of training data and is robust under noisy input, with mean absolute percentage errors below 2.5% and 6.5% for capacity degradation trajectory and remaining useable cycle life, respectively.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Engineering, Civil
Xiaolin Tang, Guichuan Zhong, Shen Li, Kai Yang, Keqi Shu, Dongpu Cao, Xianke Lin
Summary: In this paper, the fully parameterized quantile network (FPQN) is utilized to estimate the full return distribution and generate uncertainty-aware driving behavior. The proposed method outperforms the baseline methods in terms of safety and can make reasonable decisions in challenging driving cases in the presence of uncertainty.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yunhong Che, Yusheng Zheng, Yue Wu, Xianke Lin, Jiacheng Li, Xiaosong Hu, Remus Teodorescu
Summary: This paper proposes an online end-to-end state monitoring method based on transferred multi-task learning for battery management systems. The method improves accuracy and computational efficiency under various application scenarios. Experiments show that the proposed method has better accuracy and can be used for monitoring batteries in electric vehicles throughout their entire lifecycle.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
