Batterie Xiong
Nos produits révolutionnent les solutions de stockage d’énergie pour les stations de base, garantissant une fiabilité et une efficacité inégalées dans les opérations du réseau.
Xiong Wen (David) Lou [email protected] ... (SIBs) have drawn enormous attention in the past few years from both academic and industrial battery communities in view of the fascinating advantages of …
Recent Advances on Mixed Metal Sulfides for …
Xiong Wen (David) Lou [email protected] ... (SIBs) have drawn enormous attention in the past few years from both academic and industrial battery communities in view of the fascinating advantages of …
Battery Management Algorithm for Electric Vehicles: Xiong, Rui ...
by Rui Xiong (Author) This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These …
Lithium-Ion Battery Health Prognosis Based on a Real Battery …
R Xiong,Y Zhang,J Wang,H He,S Peng,M Pecht : This paper developed an effective health indicator to indicate lithium-ion battery state of health and moving-window-based method to predict battery remaining useful life. The health indicator ...
Overview of Battery and Its Management
DOI: 10.1007/978-981-15-0248-4_1 Corpus ID: 204095129 Overview of Battery and Its Management @article{Xiong2019OverviewOB, title={Overview of Battery and Its Management}, author={Rui Xiong}, journal={Battery …
Lithium-Ion Battery Health Prognosis Based on a Real Battery …
Abstract: This paper developed an effective health indicator to indicate lithium-ion battery state of health and moving-window-based method to predict battery …
Ting Xiong
22 · 144. 2016. Guaranteeing complete salt rejection by channeling saline water …
Recent Progress and Challenges in the Optimization of Electrode ...
Abstract Rechargeable magnesium batteries (RMBs) ... Fangyu Xiong. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, Hubei, 430070 China. Search for more papers by this author. Yameng Yin, Yameng Yin.
Electrode Design for Lithium–Sulfur Batteries: Problems and …
Pursuit of advanced batteries with high-energy density is one of the eternal goals for electrochemists. Over the past decades, lithium–sulfur batteries (LSBs) have gained world-wide popularity due to their high theoretical energy density and cost effectiveness. However, their road to the market is still full of thorns.
Review Nitrate additives for lithium batteries: Mechanisms ...
Xiong et al. further explored SEI compositions using in-depth XPS by etching [14] fore the test, two Li metal samples were immersed in DOL/DME (1,2-dimethoxyethane) solvents with and without LiNO 3.When LiNO 3 was present, a thick, homogeneous surface film was generated, with N-rich components (Li 3 N, LiNO 2, Li 2 …
A High-Performance Dual-Ion Battery-Supercapacitor …
A dual-ion battery-supercapacitor hybrid device (DIB-SCHD), cleverly integrating a dual-ion battery (DIB) and a supercapacitor (SC), is expected to endow both the high energy density of dual-ion …
Rui Xiong Battery Management Algorithm for Electric Vehicles
Rui Xiong Battery Management Algorithm for Electric Vehicles 123 Rui Xiong National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering Beijing Institute of Technology Beijing, China ISBN 978-981-15-0247-7 ISBN 978-981-15-0248-4 ...
[PDF] A Data-Driven Bias-Correction-Method-Based Lithium-Ion Battery …
Due to the inconsistent and varied characteristics of lithium-ion battery (LiB) cells, battery pack modeling remains a challenging problem. To model the operation of each cell in the battery pack, considerable work effort and computation time are needed. This paper proposes a data-driven bias-correction-based LiB modeling method, which can …
Battery Management Algorithm for Electric Vehicles
Rui Xiong. Springer Nature, Sep 23, 2019 - Technology & Engineering - 297 pages. This book systematically introduces readers to the core algorithms of battery …
A Data-Driven Method for Extracting Aging Features to Accurately Predict The Battery …
Request PDF | On Feb 1, 2023, Rui Xiong and others published A Data-Driven Method for Extracting Aging Features to Accurately Predict The Battery Health | Find, read and cite ...
Fractional order battery modelling methodologies for electric …
Accurate modelling of lithium ion batteries is crucial for battery management in electric vehicles. Recent studies have revealed the fractional order nature of lithium ion batteries, leading to fractional order modelling techniques. In this paper, a comprehensive review of the fractional order battery models and their applications in …
Evaluation of Lithium-Ion Battery Equivalent Circuit Models for …
H He,R Xiong,J Fa : To improve the use of lithium-ion batteries in electric vehicle (EV) applications, evaluations and comparisons of different equivalent circuit models are presented in this paper. Based on an analysis of the traditional lithium-ion ...
Rui Xiong*, Chenxu Wang and Fengchun Sun, "A novel thermal runaway warning method of lithium-ion batteries", iEnergy, doi: 10.23919/IEN.2023.0029. Jiahuan Lu, Rui Xiong*, Jinpeng Tian, Chenxu Wang and Fengchun Sun,"Deep learning to predict battery voltage ...
A Polymer‐Assisted Spinodal Decomposition Strategy toward …
A general polymer-assisted spinodal decomposition strategy is used to prepare hierarchically porous sodium super ionic conductor (NASICON)-structured polyanion-type materials (e.g., Na 3 V 2 (PO 4) 3, Li 3 V 2 (PO 4) 3, K 3 V 2 (PO 4) 3, Na 4 MnV(PO 4) 3, and Na 2 TiV(PO 4) 3) in a tetrahydrofuran/ethanol/H 2 O synthesis …
Long Short-Term Memory Recurrent Neural Network for …
Remaining useful life (RUL) prediction of lithium-ion batteries can assess the battery reliability to determine the advent of failure and mitigate battery risk. The …
Lightweight Design of an Automotive Battery-Pack Enclosure via …
The design optimization process was found beneficial to reduce the number of physical tests and product development cost and shorten product development cycles. The battery packs are crucial components of electric vehicles and may severely affect the continue voyage course and vehicle safety. Therefore, design optimization of …
Battery Management Algorithm for Electric Vehicles
Dr. Rui Xiong received the Ph.D. degrees from Beijing Institute of Technology, Beijing, China in 2014. He is currently a Professor in the Department of Vehicle Engineering, Beijing Institute of Technology, China. Since 2017, he has been an Adjunct Professor in the ...
Battery Degradation Prediction Against Uncertain Future …
@article{Lu2022BatteryDP, title={Battery Degradation Prediction Against Uncertain Future Conditions with Recurrent Neural Network Enabled Deep Learning}, author={Jiahuan Lu and Rui Xiong and Jinpeng Tian and …
Hollow Na0.62K0.05Mn0.7Ni0.2Co0.1O2 polyhedra with exposed …
Recently, there has been an increased interest in sodium-ion batteries (SIBs), in which cathodes that directly determine the performance of batteries play a critical role. Among the cathode materials, layered oxide cathodes are the most fascinating electrode materials for SIBs. However, irreversible phase transition, low capacity, poor …
Battery degradation prediction against uncertain future …
The RNN-enabled deep learning framework of battery degradation prediction is described in Fig. 2 consists of four procedures: the input matrix, the RNN layer (the core layer), the fully connected (FC) layer, and the output layer. Download: Download high-res image (706KB) ...
Design strategies and challenges of next generation aqueous Zn …
Aqueous Zn-organic batteries (AZOBs) stand out in the family of aqueous Zn devices due to high theoretical capacity, tunable structures, sustainable resources, and low cost of organic hosts. ... W. Chen, Y. Jia, J. Feng, S. Xiong. Advances and perspectives of cathode storage chemistry in aqueous zinc-ion batteries. ACS nano, 15 (2021), p. …
Defect Engineering of Oxygen‐Deficient Manganese Oxide to Achieve High‐Performing Aqueous Zinc Ion Battery
As a result, the stable Zn/oxygen-deficient MnO2 battery is able to deliver one of the highest capacities of 345 mAh g(-1) reported for a birnessite MnO2 system. This excellent electrochemical performance suggests that generating oxygen vacancies in MnO2 may aid in the future development of advanced cathodes for aqueous Zn ion batteries.
Deep learning to estimate lithium-ion battery state of health …
Xiong, R. et al. Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles. IEEE Trans. Veh. Technol. 68, …
Binyu Xiong
Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability. Y Li, M Vilathgamuwa, B Xiong, J Tang, Y Su, …
Deep learning to estimate lithium-ion battery state of health …
Jiahuan Lu1, Rui Xiong 1,JinpengTian1, Chenxu Wang1 &FengchunSun1 State of health is a critical state which evaluates the ... estimate battery SOH without relying on target labels fortraining. The ...
Xiong to advance sodium ion battery technology with …
Xiong to advance sodium ion battery technology with Office of Naval Research grant. May 17, 2023 Hui Claire Xiong in the materials science and engineering lab, Priscilla Grover photo. When we …
Defect Engineering of Oxygen‐Deficient Manganese Oxide to Achieve High‐Performing Aqueous Zinc Ion Battery
A major limitation of MnO 2 in aqueous Zn/MnO 2 ion battery applications is the poor utilization of its electrochemical active surface area. Herein, it is shown that by generating oxygen vacancies (V O) in the MnO 2 lattice, Gibbs free energy of Zn 2+ adsorption in the vicinity of V O can be reduced to thermoneutral value (≈0.05 eV). ...
Porosity Engineering of MXene Membrane towards Polysulfide Inhibition and Fast Lithium Ion Transportation for Lithium–Sulfur Batteries
2D MXene shows great potentials in Li–S batteries. A novel strategy is applied to design porous MXene membranes with tunable pore size as the interlayer for Li–S batteries. The MXene membrane compose...
Rui Xiong
Biography: Xiong Rui, professor, doctoral supervisor, IET Fellow, National Foundation Committee Outstanding Youth winner. He has been engaged in the basic theory and engineering application research of electric vehicle power system, power battery system, energy storage system, big data and artificial intelligence for a long time, presided over …
Stretchable fiber‐shaped aqueous aluminum ion …
The assembled fiber-shaped Al ion battery based on MnHCF cathode and GO/MoO 3 anode showed a high electrochemical performance with a high energy density of 30.64 mWh cm −3 at 0.099 W …
Long cycle life lithium ion battery with lithium nickel cobalt ...
1. Introduction. Lithium ion batteries have drawn a lot of attention as one of the most promising power sources for electric vehicles (EV) or hybrid electric vehicles (HEV), and residential energy storage applications [1], [2], [3].Unfortunately, the high energy density and cycle life requirements for these applications necessitate further …
Supramolecular Sidechain Topology Mediated …
The resulting membrane endows an acidic aqueous redox flow battery with an energy efficiency of up to 80.7% even at high current densities of 220 mA cm −2, breaking the record set by the …
Environmental and economic evaluation of remanufacturing …
DOI: 10.1016/j.wasman.2019.11.013 Corpus ID: 208321682; Environmental and economic evaluation of remanufacturing lithium-ion batteries from electric vehicles. @article{Xiong2019EnvironmentalAE, title={Environmental and economic evaluation of remanufacturing lithium-ion batteries from electric vehicles.}, author={Siqin Xiong and …