Performance comparison of semi-solid-state batteries with liquid electrolyte batteries: a perspective from vehicle operation
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2025.126899
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Wang, Shunli & Ma, Chao & Gao, Haiying & Deng, Dan & Fernandez, Carlos & Blaabjerg, Frede, 2025. "Improved hyperparameter Bayesian optimization-bidirectional long short-term memory optimization for high-precision battery state of charge estimation," Energy, Elsevier, vol. 328(C).
- Khezraqa, Homayun & Golshan, Marzieh & Salami-Kalajahi, Mehdi, 2025. "Solid/electrolyte and cathode/electrolyte interphases in rechargeable ion batteries: Challenges and perspectives," Applied Energy, Elsevier, vol. 384(C).
- Wang, Shichao & Wang, Yujie & Soo, Yin-Yi, 2025. "Evaluation and prediction of lithium-ion battery pack inconsistency in electric vehicles based on actual operating data," Energy, Elsevier, vol. 319(C).
- Wang, Shunli & Fan, Yongcun & Jin, Siyu & Takyi-Aninakwa, Paul & Fernandez, Carlos, 2023. "Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
- Joshi, Aniruddha & Mishra, Dillip Kumar & Singh, Rajendra & Zhang, Jiangfeng & Ding, Yi, 2025. "A comprehensive review of solid-state batteries," Applied Energy, Elsevier, vol. 386(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Fu, En & Hu, Yanyan & Peng, Kaixiang & Chu, Yuxin, 2024. "Supervised contrastive learning based dual-mixer model for Remaining Useful Life prediction," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Zhang, Jianping & Zhang, Yinjie & Fu, Jian & Zhao, Dawen & Liu, Ping & Zhang, Zhiwei, 2024. "Capacity fading knee-point recognition method and life prediction for lithium-ion batteries using segmented capacity degradation model," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
- Lopez-Salazar, Camilo & Ekwaro-Osire, Stephen & Dabetwar, Shweta & Alemayehu, Fisseha, 2025. "A comprehensive framework for estimating the remaining useful life of Li-ion batteries under limited data conditions with no temporal identifier," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- He, Qijiao & Li, Zheng & Zhao, Dongqi & Yu, Jie & Tan, Peng & Guo, Meiting & Liao, Tianjun & Zhao, Tianshou & Ni, Meng, 2023. "A 3D modelling study on all vanadium redox flow battery at various operating temperatures," Energy, Elsevier, vol. 282(C).
- Wang, Shunli & Wu, Yingyang & Zhou, Heng & Zhang, Qin & Fernandez, Carlos & Blaabjerg, Frede, 2025. "Improved particle swarm optimization-adaptive dual extended Kalman filtering for accurate battery state of charge and state of energy joint estimation with efficient core factor feedback correction," Energy, Elsevier, vol. 322(C).
- Son, Donghee & Song, Youngbin & Park, Shina & Oh, Junseok & Kim, Sang Woo, 2025. "Online state-of-charge and capacity co-estimation for lithium-ion batteries under aging and varying temperatures," Energy, Elsevier, vol. 316(C).
- Wang, Shunli & Wu, Fan & Takyi-Aninakwa, Paul & Fernandez, Carlos & Stroe, Daniel-Ioan & Huang, Qi, 2023. "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations," Energy, Elsevier, vol. 284(C).
- Guo, Peng & Ma, Wentao & Liu, Xinghua & Chen, Badong, 2025. "Robust SOC estimation of lithium-ion battery combining gated recurrent unit and square root CKF with generalized correntropy," Energy, Elsevier, vol. 338(C).
- Ruan, Guanqiang & Liu, Zixi & Cheng, Jinrun & Hu, Xing & Chen, Song & Liu, Shiwen & Guo, Yong & Yang, Kuo, 2024. "A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects," Energy, Elsevier, vol. 304(C).
- Shi, Haotian & Wu, Qiqiao & Wang, Shunli & Cao, Wen & Li, Yang & Fernandez, Carlos & Huang, Qi, 2025. "Improved back-propagation neural network-multi-information gain optimization Kalman filter method for high-precision estimation of state-of-energy in lithium-ion batteries," Energy, Elsevier, vol. 335(C).
- Zhao, Hongqian & Chen, Zheng & Shu, Xing & Xiao, Renxin & Shen, Jiangwei & Liu, Yu & Liu, Yonggang, 2024. "Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Guo, Yongfang & Yu, Xiangyuan & Wang, Yashuang & Huang, Kai, 2024. "Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks optimization algorithm," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
- Lyu, Guangzheng & Zhang, Heng & Miao, Qiang, 2023. "Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
- Hatherall, Ollie & Barai, Anup & Niri, Mona Faraji & Wang, Zeyuan & Marco, James, 2024. "Novel battery power capability assessment for improved eVTOL aircraft landing," Applied Energy, Elsevier, vol. 361(C).
- Xiao, Yutang & Zhu, Xiaoyong & Wu, Jiqi & Luo, Jun & Quan, Li & Xiong, Rui & Chen, Wenhua, 2025. "A multi-stage augmentative generalization learning prediction model for lithium-ion battery remaining useful life under uncertain working conditions," Energy, Elsevier, vol. 335(C).
- Wang, Chen & Zhang, Liming & Chen, Ling & Tan, Tian & Zhang, Cong, 2025. "Remaining useful life prediction of nuclear reactor control rod drive mechanism based on dynamic temporal convolutional network," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
- Tian, Aina & Yu, Haijun & Hu, Zhaoyu & Wang, Yuqin & Wu, Tiezhou & Jiang, Jiuchun, 2025. "A novel remaining useful life prediction method based on CNN-Attention combined with SMA-GPR," Energy, Elsevier, vol. 321(C).
- Song, Dengwei & Cheng, Yujie & Zhou, An & Lu, Chen & Chong, Jin & Ma, Jian, 2024. "Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
- Ni, Yulong & Song, Kai & Pei, Lei & Li, Xiaoyu & Wang, Tiansi & Zhang, He & Zhu, Chunbo & Xu, Jianing, 2025. "State-of-health estimation and knee point identification of lithium-ion battery based on data-driven and mechanism model," Applied Energy, Elsevier, vol. 385(C).
- Hong, Jichao & Zhang, Huaqin & Zhang, Xinyang & Yang, Haixu & Chen, Yingjie & Wang, Facheng & Huang, Zhongguo & Wang, Wei, 2024. "Online accurate voltage prediction with sparse data for the whole life cycle of Lithium-ion batteries in electric vehicles," Applied Energy, Elsevier, vol. 369(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:402:y:2025:i:pa:s0306261925016290. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/appene/v402y2025ipas0306261925016290.html