Biomass-derived N/S dual-doped porous hard-carbon as high-capacity anodes for lithium/sodium ions batteries
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DOI: 10.1016/j.energy.2021.121102
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- Jilte, Ravindra & Afzal, Asif & Panchal, Satyam, 2021. "A novel battery thermal management system using nano-enhanced phase change materials," Energy, Elsevier, vol. 219(C).
- Wu, Hongfei & Zhang, Xingjuan & Cao, Renfeng & Yang, Chunxin, 2021. "An investigation on electrical and thermal characteristics of cylindrical lithium-ion batteries at low temperatures," Energy, Elsevier, vol. 225(C).
- Wei, Jingwen & Chen, Chunlin, 2021. "A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries," Energy, Elsevier, vol. 229(C).
- Xiao, Feiyu & Xing, Bobin & Kong, Lingzhao & Xia, Yong, 2021. "Impedance-based diagnosis of internal mechanical damage for large-format lithium-ion batteries," Energy, Elsevier, vol. 230(C).
- Seo, Minhwan & Song, Youngbin & Kim, Jake & Paek, Sung Wook & Kim, Gi-Heon & Kim, Sang Woo, 2021. "Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures," Energy, Elsevier, vol. 226(C).
- Wang, Haimin & Shi, Weijie & Hu, Feng & Wang, Yufei & Hu, Xuebin & Li, Huanqi, 2021. "Over-heating triggered thermal runaway behavior for lithium-ion battery with high nickel content in positive electrode," Energy, Elsevier, vol. 224(C).
- Kong, Jin-zhen & Yang, Fangfang & Zhang, Xi & Pan, Ershun & Peng, Zhike & Wang, Dong, 2021. "Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries," Energy, Elsevier, vol. 223(C).
- Ma, Yan & Mou, Hongyuan & Zhao, Haiyan, 2020. "Cooling optimization strategy for lithium-ion batteries based on triple-step nonlinear method," Energy, Elsevier, vol. 201(C).
- Zhou, Di & Zheng, Wenbin & Chen, Shaohui & Fu, Ping & Zhu, Hongyu & Song, Bai & Qu, Xisong & Wang, Tiancheng, 2021. "Research on state of health prediction model for lithium batteries based on actual diverse data," Energy, Elsevier, vol. 230(C).
- Xu, Meng & Wang, Xia & Zhang, Liwen & Zhao, Peng, 2021. "Comparison of the effect of linear and two-step fast charging protocols on degradation of lithium ion batteries," Energy, Elsevier, vol. 227(C).
- Li, Changlong & Cui, Naxin & Wang, Chunyu & Zhang, Chenghui, 2021. "Reduced-order electrochemical model for lithium-ion battery with domain decomposition and polynomial approximation methods," Energy, Elsevier, vol. 221(C).
- Jiang, Zhibin & Chen, Ling & Zhang, Wenguang & Chen, Shiyu & Jian, Xiying & Liu, Xiang & Chen, Hongyu & Guo, Chunlei & Li, Weishan, 2021. "Sandwich-like NOCC@S8/rGO composite as cathode for high energy lithium-sulfur batteries," Energy, Elsevier, vol. 220(C).
- Shen, Dongxu & Wu, Lifeng & Kang, Guoqing & Guan, Yong & Peng, Zhen, 2021. "A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current," Energy, Elsevier, vol. 218(C).
- Li, Xiaoyu & Yuan, Changgui & Wang, Zhenpo, 2020. "State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression," Energy, Elsevier, vol. 203(C).
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- Zhang, Yi-Jie & Gao, Yi-Jun & Wang, Xiaoge & Ye, Qin & Zhang, Ya & Wu, Yu & Chen, Shu-Han & Ruan, Bo & Shi, Dean & Jiang, Tao & Tsai, Fang-Chang & Ma, Ning, 2022. "MoTe2 on metal-organic framework derived MoO2/N-doped carbon rods for enhanced sodium-ion storage properties," Energy, Elsevier, vol. 243(C).
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Keywords
Hierarchical pore structure; Lithium ions batteries; Sodium ions batteries; N/S dual-doped carbon;All these keywords.
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