A Data-Driven LiFePO4 Battery Capacity Estimation Method Based on Cloud Charging Data from Electric Vehicles DOI Creative Commons
Xingyu Zhou, Xuebing Han, Yanan Wang

и другие.

Batteries, Год журнала: 2023, Номер 9(3), С. 181 - 181

Опубликована: Март 20, 2023

The accuracy of capacity estimation is great importance to the safe, efficient, and reliable operation battery systems. In recent years, data-driven methods have emerged as promising alternatives due higher accuracy. Despite significant progress, are mainly developed by experimental data under well-controlled charge–discharge processes, which seldom available for practical health monitoring realistic conditions uncertainties in environmental operational conditions. this paper, a novel method estimate large-format LiFePO4 batteries based on real from electric vehicles proposed. A comprehensive dataset consisting 85 that has been running around one year diverse nominal derived cloud platform generated. classification aggregation prediction developed, combining aging experiment with big analysis data. Based degradation mechanisms, IC curve features extracted, linear regression model established realize high-precision slow-charging constant-current charging. selected highly correlated (Pearson correlation coefficient < 0.85 all vehicles), MSE results less than 1 Ah. On basis protocol mechanism studies, feature set including internal resistance, temperature, statistical characteristics voltage constructed, neural network (NN) multi-stage variable-current fast-charging Finally, above two models integrated achieve complex changeable working conditions, relative error 0.8%. An using battery, same those equipped dataset, carried out verify methods. To best authors’ knowledge, our study first field an type battery.

Язык: Английский

Toward flexibility of user side in China: Virtual power plant (VPP) and vehicle-to-grid (V2G) interaction DOI Open Access
Yudi Qin,

Y. Madhusudan Rao,

Zhoucheng Xu

и другие.

eTransportation, Год журнала: 2023, Номер 18, С. 100291 - 100291

Опубликована: Окт. 1, 2023

Язык: Английский

Процитировано

33

Building Better Batteries: Solid-State Batteries with Li-Rich Oxide Cathodes DOI Creative Commons
Lifeng Xu, Shi Chen, Yuefeng Su

и другие.

Energy Material Advances, Год журнала: 2023, Номер 4

Опубликована: Янв. 1, 2023

High-capacity Li-rich oxide materials have received extensive attention due to their unique anion–cation charge compensation involvement. However, the high operating voltage, poor cycling performance, unsafe oxygen evolution, and voltage decay limit industrial application. The emergence development of solid-state batteries offer a great opportunity solve these issues by replacing flammable unstable liquid electrolytes with solid electrolytes. Meanwhile, utilization high-capacity cathodes enables establish high-energy-density wide ranges, light weight, mechanical properties. This review summarizes recent progress electrolytes, emphasizing major advantages, interface challenges, modification approaches in batteries. We also propose possible characterization strategies for effective interfacial observation analyses. It is hoped that this should inspire rational design better application portable devices, electric vehicles, as well power grids.

Язык: Английский

Процитировано

24

In Situ Polymerization Facilitating Practical High‐Safety Quasi‐Solid‐State Batteries DOI

Xinyu Rui,

Rui Hua, Dongsheng Ren

и другие.

Advanced Materials, Год журнала: 2024, Номер 36(27)

Опубликована: Апрель 18, 2024

Abstract Quasi‐solid‐state batteries (QSSBs) are gaining widespread attention as a promising solution to improve battery safety performance. However, the improvement and underlying mechanisms of QSSBs remain elusive. Herein, novel strategy combining high‐safety ethylene carbonate‐free liquid electrolyte in situ polymerization technique is proposed prepare practical QSSBs. The Ah‐level with LiNi 0.83 Co 0.11 Mn 0.06 O 2 cathode graphite–silicon anode demonstrate significantly improved features without sacrificing electrochemical As evidenced by accelerating rate calorimetry tests, exhibit increased self‐heating temperature onset ( T ), decreased rise during thermal runaway (TR). has maximum increase 48.4 °C compared conventional batteries. Moreover, do not undergo TR until 180 (even 200 °C) hot‐box presenting significant that run into at 130 °C. Systematic investigations show formed polymer skeleton effectively mitigates exothermic reactions between lithium salts lithiated anode, retards oxygen release from cathode, inhibits crosstalk elevated temperatures. findings offer an innovative for open up new sight building safer high‐energy‐density

Язык: Английский

Процитировано

16

Thermal characteristic evolution of lithium–ion batteries during the whole lifecycle DOI
Guangxu Zhang, Xuezhe Wei,

Donghai Chen

и другие.

Journal of Energy Chemistry, Год журнала: 2024, Номер 92, С. 534 - 547

Опубликована: Янв. 26, 2024

Язык: Английский

Процитировано

15

Multi-level intelligence empowering lithium-ion batteries DOI
Guangxu Zhang, Jiangong Zhu, Haifeng Dai

и другие.

Journal of Energy Chemistry, Год журнала: 2024, Номер 97, С. 535 - 552

Опубликована: Июнь 19, 2024

Язык: Английский

Процитировано

14

The local lithium plating caused by anode crack defect in Li-ion battery DOI
Yuebo Yuan, Hewu Wang, Xuebing Han

и другие.

Applied Energy, Год журнала: 2024, Номер 361, С. 122968 - 122968

Опубликована: Март 9, 2024

Язык: Английский

Процитировано

12

A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions DOI Creative Commons
Wei Yan, Xiao Wang, Ying Liu

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 9, 2024

With the development of electric vehicle industry, number power batteries has increased dramatically. Establishing a recycling EOL (end-of-life) battery network for secondary use is an effective way to solve resource shortage and environmental pollution. However, existing networks are challenging due high uncertainty batteries, e.g., quantity quality, resulting in low rate recovery network. To fill this gap, paper proposes stochastic programming approach design under uncertain conditions batteries. Firstly, multi-objective model established, considering carbon emissions economic benefits. Secondly, proposed clarify model. Subsequently, genetic algorithm employed Finally, case Region T given verify credibility superiority method. The results demonstrate that reduces by 20 metric tons increases overall benefits 10 million yuan compared deterministic Furthermore, two portions affecting optimization also discussed provide reference reducing improving efficiency networks.

Язык: Английский

Процитировано

11

Evolution mechanism and non-destructive assessment of thermal safety for lithium-ion batteries during the whole lifecycle DOI
Guangxu Zhang, Xuezhe Wei, Xueyuan Wang

и другие.

Nano Energy, Год журнала: 2024, Номер 126, С. 109621 - 109621

Опубликована: Апрель 17, 2024

Язык: Английский

Процитировано

11

Lithium-ion battery sudden death: Safety degradation and failure mechanism DOI
Guangxu Zhang, Xuezhe Wei, Xueyuan Wang

и другие.

eTransportation, Год журнала: 2024, Номер 20, С. 100333 - 100333

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

10

Solid-state interphases design for high-safety, high-voltage and long-cyclability practical batteries via ethylene carbonate-free electrolytes DOI
Yu Wu, Wenjie Zhang, Yalun Li

и другие.

Energy storage materials, Год журнала: 2023, Номер 65, С. 103165 - 103165

Опубликована: Дек. 25, 2023

Язык: Английский

Процитировано

19