Oxygen release facilitates Mn migration in O3-NaLi0.33Mn0.67O2: Achieving high performance of sustainable voltage DOI
Wenjing Qin,

Yi Yan,

Musheng Wu

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114278 - 114278

Опубликована: Окт. 22, 2024

Язык: Английский

Online evaluation method for lithium battery capacity fading considering capacity fading disturbance and error compensation DOI

Jiazhi Lei,

K. Shen,

Zhao Liu

и другие.

Journal of Energy Storage, Год журнала: 2025, Номер 117, С. 116022 - 116022

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

1

Comparative Analysis of Neural Network Models for Predicting Battery Pack Safety in Frontal Collisions DOI Creative Commons
Jun Wang, Chen Ouyang, Zhenfei Zhan

и другие.

World Electric Vehicle Journal, Год журнала: 2025, Номер 16(2), С. 78 - 78

Опубликована: Фев. 5, 2025

Amid concerns about environmental degradation and the consumption of non-renewable energy, development electric vehicles (EVs) has accelerated, with increasing focus on safety. On road, battery packs are exposed to potential risks from unforeseen objects that may collide or scratch system, which lead damage even explosions, thus endangering safety transportation participants. In this study, several predictive models aimed at assessing performances proposed provide a basis for data-driven structural optimization by numerically simulating deformation base plate. Initially, finite element model pack was developed, accuracy verified performing modal analysis various commercial software tools. Then, representative samples were collected using optimal Latin hypercube sampling, followed collision simulations gather data under different conditions. Next, prediction three models—PSO-BP neural network, RIME-BP RBF network—was compared predicting bottom shell deformation. Finally, based error functions. The results indicate these network can accurately predict frontal conditions within specified limits, yielding best performance beyond those limits. developed is able assess mechanical response collision, providing support optimization. It also provides an important reference improving durability design.

Язык: Английский

Процитировано

0

Comprehensive analysis of improved LiFePO4 kinetics: Understanding barriers to fast charging DOI

Carolina Lara,

Marisol Maril,

Pablo Tobosque

и другие.

Journal of Power Sources, Год журнала: 2025, Номер 640, С. 236747 - 236747

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0

Non-flammable phosphate-ester-based electrolyte with high concentration for high safety potassium-based anode-free dual ion battery DOI
Ge Zhang,

Sunfa Wang,

Kanghou Ma

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 162629 - 162629

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

A comparative study of dry-coated fumed metal oxides for enhanced cycling performance of SiOx/C anodes in lithium-ion batteries DOI Creative Commons
Ana L. Azevedo Costa,

Mareike Liebertseder,

Tatiana Gambaryan‐Roisman

и другие.

Electrochemistry Communications, Год журнала: 2025, Номер unknown, С. 107941 - 107941

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Oxygen release facilitates Mn migration in O3-NaLi0.33Mn0.67O2: Achieving high performance of sustainable voltage DOI
Wenjing Qin,

Yi Yan,

Musheng Wu

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114278 - 114278

Опубликована: Окт. 22, 2024

Язык: Английский

Процитировано

2