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Article
Energy & Fuels
Xiaopeng Tang et al.
Summary: This article proposes a low-computational leader-follower framework for estimating the state-of-charge (SoC) and state-of-health (SoH) of battery packs. The framework uses an enhanced algorithm to handle a selected battery (leader) and updates the states of the other batteries (followers) with lightweight calibrators. Battery-in-the-loop experiments show that the proposed method can achieve accurate estimations with significantly reduced computational time.
Article
Engineering, Chemical
Quanwei Chen et al.
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
Thermodynamics
Liukai Yu et al.
Summary: This study applies network evolutionary game theory to investigate the impact of promoting electrification on industry energy conservation and carbon reduction in China. The results show that implementing dual credit policy makes electrical transition an irreversible trend for manufacturers, but internal combustion engine vehicles will coexist with EVs in a certain proportion, which is negatively related to consumer's acceptance toward EVs. Before increasing consumer's acceptance toward EVs, increasing the proportion of renewable source in primary energy is of greater urgency and effectiveness to achieve life-cycle emission reduction advantage of EVs.
Review
Electrochemistry
Long Zhou et al.
Summary: This paper comprehensively reviews the research status, technical challenges, and development trends of state estimation of lithium-ion batteries, which is a core function in the battery management system. It summarizes the key issues and technical challenges in battery state estimation and provides a deep analysis of these challenges. The paper also reviews the joint estimation methods for four typical battery states and proposes feasible estimation frameworks. Furthermore, it discusses the prospect of state estimation development and the influence of advanced technologies like artificial intelligence and cloud networking.
Article
Chemistry, Physical
Anis Allagui et al.
Summary: This paper proposes two new deformed BV models for analyzing nonlinear behaviors in some Li-ion battery data, and verifies their effectiveness through experimental data.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Chemistry, Physical
Fujin Wang et al.
Summary: In this study, a transferable RUL prediction method for lithium-ion batteries is proposed. An Encoding Net is constructed to extract global degradation tendency information and cycle-consistency learning is used to align the battery degradation data. Based on aligned features, a new RUL prediction method is established. Experimental results show that the proposed method achieves high prediction accuracy and provides a new perspective for RUL prediction.
JOURNAL OF POWER SOURCES
(2022)
Article
Engineering, Multidisciplinary
Jing Ning et al.
Summary: The aim of this paper is to create a rapid detector for battery state-of-health (SOH) in field applications. The research focuses on the detection principle and implementation technology of the instrument, which differentiates it from machine learning methods and equivalent-circuit model methods. The paper introduces charge transfer factor and lithium-ion diffusion factor to represent the battery SOH in the active material and lithium-ion inventory respectively. The relationship between these factors and battery impedance is established, independent of state of charge (SOC). The rapid detector, implemented on a microcontrol unit with HRPWM technology, obtains two indicators by measuring the charging current at a specific single frequency point within seconds. The use of fixed-amplitude DC current and variant AC current provides a unified comparison base and shortens the measurement time.
Article
Thermodynamics
Fei Feng et al.
Summary: Solid-liquid electrolyte lithium-ion batteries (SLELBs) have commercial viability in electric vehicle applications. It is important to accurately understand battery behavior under different factors and build simulation models. Electrochemical impedance spectroscopy (EIS) can be used to study electrode processes and ion transport mechanisms in lithium-ion batteries. In this series of papers, regression models and an orthogonal experiment design are proposed to predict SLELB impedance under temperature and SOC factors. An equivalent circuit model based on the electrode process is established and simplified to obtain the simplified equivalent circuit model (SECM). The experimental results show that the SECM has accurate prediction performance and reduces the number of required experiments.
Article
Electrochemistry
C. P. Aiken et al.
Summary: By restricting the charging voltage of single crystal Li[Ni0.5Mn0.3Co0.2]O-2//graphite pouch cells to a lower level, the energy density and cycle life can be improved, demonstrating excellent high temperature performance.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Multidisciplinary Sciences
Jiangong Zhu et al.
Summary: Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion batteries. Researchers have found that utilizing features from the relaxation voltage curve enables battery capacity estimation without requiring other previous cycling information.
NATURE COMMUNICATIONS
(2022)
Article
Engineering, Multidisciplinary
Xin Lai et al.
Summary: This study proposes a joint estimation method of state of health (SOH) and state of energy (SOE) using forgetting factor recursive least squares (FFRLS) and unscented Kalman filter algorithm. The method improves the accuracy of SOE estimation under complex and dynamic working conditions.
Article
Chemistry, Physical
Taner Zerrin et al.
Summary: The electrolyte-to-sulfur (E/S) ratio has a significant impact on the electrochemical performance of Lithium-Sulfur (Li-S) batteries. An optimal E/S ratio should balance the migration of active materials and the wetting of the active material. Low E/S ratios may result in capacity decay due to electrolyte depletion, while high E/S ratios may lead to dissolved lithium polysulfide species diffusing to the lithium anode surface.
Article
Energy & Fuels
Yassine Toughzaoui et al.
Summary: This paper investigates methods for estimating the health status and remaining useful life of lithium-ion batteries. A combination of CNN and LSTM networks is proposed, and the K-means clustering algorithm is used for data classification. A comparative study of LSTM and the hybrid CNN-LSTM method demonstrates the superiority of the proposed approach.
JOURNAL OF ENERGY STORAGE
(2022)
Editorial Material
Chemistry, Physical
Xin Sun et al.
Summary: This article introduces the background and research directions of three researchers from Tsinghua University, covering the sustainability of critical materials for low carbon energy transition, electrified powertrain systems for transportation, and the resource and environmental impacts of transport electrification.
Article
Energy & Fuels
Xin Lai et al.
Summary: A joint SOC-SOH estimation method considering the influence of temperature on lithium-ion batteries is proposed, which updates parameters in real time under different battery ageing degrees. The method can provide more accurate SOC and SOH estimation results, supporting the use of lithium batteries in various applications.
Article
Engineering, Electrical & Electronic
Xin Wang et al.
Summary: This paper proposes a new hybrid drive method combining data and model, which accurately predicts the remaining useful life of machinery by constructing scalable models and training prediction networks.
IEEE SENSORS JOURNAL
(2022)
Article
Electrochemistry
Wentao Song et al.
Summary: In this study, the effectiveness of LiDFDOP as an electrolyte additive, both singly and in combination with co-additives, was systematically investigated in NMC811/AG cells. Through long-term cycling tests and various analyses, the study revealed multiple aspects of the additive's impact on cell performance. The results provide important insights for future electrolyte additive studies.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Chemistry, Physical
Jinpeng Tian et al.
Summary: Accurate estimation of state of charge (SOC) is vital for the reliable operations of lithium-ion batteries. This study proposes a solution that incorporates domain knowledge into deep learning-based SOC estimation, resulting in improved accuracy. By decoupling voltage and current sequences, and fusing SOC estimation results from deep neural networks (DNNs) with short-term Ampere-hour predictions, the proposed method achieves significant reduction in estimation errors.
ENERGY STORAGE MATERIALS
(2022)
Article
Electrochemistry
Abir Ghosh et al.
Summary: This study presents a degradation model for high-nickel positive electrode materials undergoing structural reorganisation involving oxygen loss and the formation of a disordered passivation layer. The model predicts the influence of passivation layer growth and lithium trapping on causing capacity and power fade, and identifies diffusion and reaction dominated limiting cases based on oxygen diffusion rate and passivation layer thickness.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Thermodynamics
Xin Lai et al.
Summary: This paper proposes a novel capacity estimation method by combining model-based and data-driven methods based on SEKF to improve accuracy and reliability. Through cycle aging tests and dynamic data, it successfully estimates the state-of-charge and capacity of the batteries, while addressing a parameter mismatch problem.
Article
Engineering, Electrical & Electronic
Zhiqiang Lyu et al.
Summary: A model-data-fusion method is proposed for estimating the state-of-health and predicting the remaining useful life of Li-ion batteries in electric vehicles. The method combines a dynamic battery degradation model with a particle filter to track degradation and make predictions, showing accuracy and robustness in experiments.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Electrochemistry
Wentao Song et al.
Summary: A systematic study was conducted on the impact of electrolyte additives on the performance and lifetime of lithium-ion batteries, providing a reference for the development of NMC811/graphite cells and valuable insights for future electrolyte additive research.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Energy & Fuels
Jie Xiao et al.
Article
Green & Sustainable Science & Technology
Rui Xiong et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Review
Chemistry, Physical
Xin Li et al.
Article
Energy & Fuels
Yuejiu Zheng et al.
Review
Green & Sustainable Science & Technology
Xiaosong Hu et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
Article
Thermodynamics
Fangfang Yang et al.
Review
Chemistry, Multidisciplinary
M. Rosa Palacin
CHEMICAL SOCIETY REVIEWS
(2018)
Article
Thermodynamics
Fangfang Yang et al.
Review
Green & Sustainable Science & Technology
Aoife Foley et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2017)
Article
Computer Science, Interdisciplinary Applications
Periasamy Vijay et al.
COMPUTERS & CHEMICAL ENGINEERING
(2017)
Article
Chemistry, Physical
Yuejiu Zheng et al.
JOURNAL OF POWER SOURCES
(2015)
Article
Electrochemistry
R. Fathi et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2014)
Article
Electrochemistry
J. E. Harlow et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2013)
Article
Electrochemistry
J. C. Burns et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2011)
Article
Electrochemistry
A. J. Smith et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2011)
Article
Electrochemistry
A. J. Smith et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2011)
Article
Electrochemistry
A. J. Smith et al.
ELECTROCHEMICAL AND SOLID STATE LETTERS
(2010)
