Artículos de revistas sobre el tema "Battery state-of-health"
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Yang, Qingxia, Ke Ma, Liyou Xu, Lintao Song, Xiuqing Li y Yefei Li. "A Joint Estimation Method Based on Kalman Filter of Battery State of Charge and State of Health". Coatings 12, n.º 8 (24 de julio de 2022): 1047. http://dx.doi.org/10.3390/coatings12081047.
Texto completoWei, Yupeng. "Prediction of State of Health of Lithium-Ion Battery Using Health Index Informed Attention Model". Sensors 23, n.º 5 (26 de febrero de 2023): 2587. http://dx.doi.org/10.3390/s23052587.
Texto completoHuang, Kai, Yong-Fang Guo, Ming-Lang Tseng, Kuo-Jui Wu y Zhi-Gang Li. "A Novel Health Factor to Predict the Battery’s State-of-Health Using a Support Vector Machine Approach". Applied Sciences 8, n.º 10 (2 de octubre de 2018): 1803. http://dx.doi.org/10.3390/app8101803.
Texto completoO. Hadi, Pradita y Goro Fujita. "Battery Charge Control by State of Health Estimation". Indonesian Journal of Electrical Engineering and Computer Science 5, n.º 3 (1 de marzo de 2017): 508. http://dx.doi.org/10.11591/ijeecs.v5.i3.pp508-514.
Texto completoPatel, Nisarg. "A Review of State of Health and State of Charge Estimation Methods". International Journal for Research in Applied Science and Engineering Technology 9, n.º 11 (30 de noviembre de 2021): 259–64. http://dx.doi.org/10.22214/ijraset.2021.38693.
Texto completoBrunelli Lazzarin, Telles y Ivo Barbi. "A system for state-of-health diagnosis of lead-acid batteries integrated with a battery charger". Eletrônica de Potência 17, n.º 1 (1 de febrero de 2012): 401–8. http://dx.doi.org/10.18618/rep.2012.1.401408.
Texto completoZhang, Tao, Ningyuan Guo, Xiaoxia Sun, Jie Fan, Naifeng Yang, Junjie Song y Yuan Zou. "A Systematic Framework for State of Charge, State of Health and State of Power Co-Estimation of Lithium-Ion Battery in Electric Vehicles". Sustainability 13, n.º 9 (5 de mayo de 2021): 5166. http://dx.doi.org/10.3390/su13095166.
Texto completoNuroldayeva, Gulzat, Yerkin Serik, Desmond Adair, Berik Uzakbaiuly y Zhumabay Bakenov. "State of Health Estimation Methods for Lithium-Ion Batteries". International Journal of Energy Research 2023 (3 de marzo de 2023): 1–21. http://dx.doi.org/10.1155/2023/4297545.
Texto completoYu, Zhilong, Na Liu, Yekai Zhang, Lihua Qi y Ran Li. "Battery SOH Prediction Based on Multi-Dimensional Health Indicators". Batteries 9, n.º 2 (24 de enero de 2023): 80. http://dx.doi.org/10.3390/batteries9020080.
Texto completoMei, Peng, Hamid Reza Karimi, Fei Chen, Shichun Yang, Cong Huang y Song Qiu. "A Learning-Based Vehicle-Cloud Collaboration Approach for Joint Estimation of State-of-Energy and State-of-Health". Sensors 22, n.º 23 (4 de diciembre de 2022): 9474. http://dx.doi.org/10.3390/s22239474.
Texto completoZhu, Chunxiang, Bowen Zheng, Zhiwei He, Mingyu Gao, Changcheng Sun y Zhengyi Bao. "State of Health Estimation of Lithium-Ion Battery Using Time Convolution Memory Neural Network". Mobile Information Systems 2021 (14 de diciembre de 2021): 1–16. http://dx.doi.org/10.1155/2021/4826409.
Texto completoAl-Gabalawy, Mostafa, Karar Mahmoud, Mohamed M. F. Darwish, James A. Dawson, Matti Lehtonen y Nesreen S. Hosny. "Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries". Applied Sciences 11, n.º 8 (16 de abril de 2021): 3609. http://dx.doi.org/10.3390/app11083609.
Texto completoHan, Xuebing, Xuning Feng, Minggao Ouyang, Languang Lu, Jianqiu Li, Yuejiu Zheng y Zhe Li. "A Comparative Study of Charging Voltage Curve Analysis and State of Health Estimation of Lithium-ion Batteries in Electric Vehicle". Automotive Innovation 2, n.º 4 (diciembre de 2019): 263–75. http://dx.doi.org/10.1007/s42154-019-00080-2.
Texto completoNoura, Nassim, Loïc Boulon y Samir Jemeï. "A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges". World Electric Vehicle Journal 11, n.º 4 (16 de octubre de 2020): 66. http://dx.doi.org/10.3390/wevj11040066.
Texto completoCüneyt;ÖZKAZANÇ, BARLAK. "DETERMINATION OF BATTERY STATE-OF-HEALTH VIA STATISTICAL CLASSIFICATION". Communications Faculty Of Science University of Ankara 52, n.º 2 (2010): 1–9. http://dx.doi.org/10.1501/commua1-2_0000000080.
Texto completoPradhan, Sunil K. y Basab Chakraborty. "Battery management strategies: An essential review for battery state of health monitoring techniques". Journal of Energy Storage 51 (julio de 2022): 104427. http://dx.doi.org/10.1016/j.est.2022.104427.
Texto completoZhang, Yueying y Yi Guo. "Estimation of State of Charge and State of Health of Marine Lithium Battery based on BP Neural Network". Journal of Physics: Conference Series 2450, n.º 1 (1 de marzo de 2023): 012091. http://dx.doi.org/10.1088/1742-6596/2450/1/012091.
Texto completoZhao, Kelun, Zhimao Ming, Jiajie Wu y Wei Sun. "Health state estimation of lithium ion batteries based on electrochemical impedance spectroscopy". Journal of Physics: Conference Series 2366, n.º 1 (1 de noviembre de 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2366/1/012030.
Texto completoWang, Cheng, Chengyang Yu, Weiwei Guo, Zhenpo Wang y Jiyuan Tan. "Identification of Typical Sub-Health State of Traction Battery Based on a Data-Driven Approach". Batteries 8, n.º 7 (4 de julio de 2022): 65. http://dx.doi.org/10.3390/batteries8070065.
Texto completoVilsen, Søren B. y Daniel-Ioan Stroe. "Battery state-of-health modelling by multiple linear regression". Journal of Cleaner Production 290 (marzo de 2021): 125700. http://dx.doi.org/10.1016/j.jclepro.2020.125700.
Texto completoRoman, Darius, Saurabh Saxena, Valentin Robu, Michael Pecht y David Flynn. "Machine learning pipeline for battery state-of-health estimation". Nature Machine Intelligence 3, n.º 5 (5 de abril de 2021): 447–56. http://dx.doi.org/10.1038/s42256-021-00312-3.
Texto completoFang, Liu, Liu Xinyi, Su Weixing, Chen Hanning, He Maowei y Liang Xiaodan. "State-of-Health Online Estimation for Li-Ion Battery". SAE International Journal of Electrified Vehicles 9, n.º 2 (31 de diciembre de 2020): 185–96. http://dx.doi.org/10.4271/14-09-02-0012.
Texto completoMicea, M. V., L. Ungurean, Gabriel N. Cârstoiu y V. Groza. "Online State-of-Health Assessment for Battery Management Systems". IEEE Transactions on Instrumentation and Measurement 60, n.º 6 (junio de 2011): 1997–2006. http://dx.doi.org/10.1109/tim.2011.2115630.
Texto completoRichardson, Robert R., Michael A. Osborne y David A. Howey. "Gaussian process regression for forecasting battery state of health". Journal of Power Sources 357 (julio de 2017): 209–19. http://dx.doi.org/10.1016/j.jpowsour.2017.05.004.
Texto completoLai, Xin, Ming Yuan, Xiaopeng Tang, Yi Yao, Jiahui Weng, Furong Gao, Weiguo Ma y Yuejiu Zheng. "Co-Estimation of State-of-Charge and State-of-Health for Lithium-Ion Batteries Considering Temperature and Ageing". Energies 15, n.º 19 (9 de octubre de 2022): 7416. http://dx.doi.org/10.3390/en15197416.
Texto completoChoi, Woongchul. "A Study on State of Charge and State of Health Estimation in Consideration of Lithium-Ion Battery Aging". Sustainability 12, n.º 24 (14 de diciembre de 2020): 10451. http://dx.doi.org/10.3390/su122410451.
Texto completoLi, Xiaoyu, Tengyuan Wang, Chuxin Wu, Jindong Tian y Yong Tian. "Battery Pack State of Health Prediction Based on the Electric Vehicle Management Platform Data". World Electric Vehicle Journal 12, n.º 4 (20 de octubre de 2021): 204. http://dx.doi.org/10.3390/wevj12040204.
Texto completoBao, Zhengyi, Jiahao Jiang, Chunxiang Zhu y Mingyu Gao. "A New Hybrid Neural Network Method for State-of-Health Estimation of Lithium-Ion Battery". Energies 15, n.º 12 (16 de junio de 2022): 4399. http://dx.doi.org/10.3390/en15124399.
Texto completoHemdani, Jamila, Laid Degaa, Moez Soltani, Nassim Rizoug, Achraf Jabeur Telmoudi y Abdelkader Chaari. "Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of Health". Energies 15, n.º 22 (16 de noviembre de 2022): 8558. http://dx.doi.org/10.3390/en15228558.
Texto completoJiang, Jianfeng, Shaishai Zhao y Chaolong Zhang. "State-of-Health Estimate for the Lithium-Ion Battery Using Chi-Square and ELM-LSTM". World Electric Vehicle Journal 12, n.º 4 (10 de noviembre de 2021): 228. http://dx.doi.org/10.3390/wevj12040228.
Texto completoFu, Pengyu, Liang Chu, Zhuoran Hou, Zhiqi Guo, Yang Lin y Jincheng Hu. "State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model". Sensors 22, n.º 21 (5 de noviembre de 2022): 8530. http://dx.doi.org/10.3390/s22218530.
Texto completoSelvabharathi, D. y N. Muruganantham. "Battery health and performance monitoring system: a closer look at state of health (SoH) assessment methods of a Lead-Acid battery". Indonesian Journal of Electrical Engineering and Computer Science 18, n.º 1 (1 de abril de 2020): 261. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp261-267.
Texto completoSurya, Sumukh, Vidya Rao y Sheldon S. Williamson. "Comprehensive Review on Smart Techniques for Estimation of State of Health for Battery Management System Application". Energies 14, n.º 15 (30 de julio de 2021): 4617. http://dx.doi.org/10.3390/en14154617.
Texto completoWang, Jiwei, Zhongwei Deng, Jinwen Li, Kaile Peng, Lijun Xu, Guoqing Guan y Abuliti Abudula. "State of Health Trajectory Prediction Based on Multi-Output Gaussian Process Regression for Lithium-Ion Battery". Batteries 8, n.º 10 (21 de septiembre de 2022): 134. http://dx.doi.org/10.3390/batteries8100134.
Texto completoSalek, Farhad, Aydin Azizi, Shahaboddin Resalati, Paul Henshall y Denise Morrey. "Mathematical Modelling and Simulation of Second Life Battery Pack with Heterogeneous State of Health". Mathematics 10, n.º 20 (17 de octubre de 2022): 3843. http://dx.doi.org/10.3390/math10203843.
Texto completoWang, Zuolu, Guojin Feng, Xiuquan Sun, Dong Zhen, Fengshou Gu y Andrew D. Ball. "Feature Extraction from Charging Profiles for State of Health Estimation of Lithium-ion Battery". Journal of Physics: Conference Series 2184, n.º 1 (1 de marzo de 2022): 012024. http://dx.doi.org/10.1088/1742-6596/2184/1/012024.
Texto completoAkbar, Khalid, Yuan Zou, Qasim Awais, Mirza Jabbar Aziz Baig y Mohsin Jamil. "A Machine Learning-Based Robust State of Health (SOH) Prediction Model for Electric Vehicle Batteries". Electronics 11, n.º 8 (12 de abril de 2022): 1216. http://dx.doi.org/10.3390/electronics11081216.
Texto completoFu, Pengyu, Liang Chu, Jihao Li, Zhiqi Guo, Jincheng Hu y Zhuoran Hou. "State of Health Prediction of Lithium-Ion Battery Based on Deep Dilated Convolution". Sensors 22, n.º 23 (2 de diciembre de 2022): 9435. http://dx.doi.org/10.3390/s22239435.
Texto completoYuan, Hongyuan, Youjun Han, Yu Zhou, Zongke Chen, Juan Du y Hailong Pei. "State of Charge Dual Estimation of a Li-ion Battery Based on Variable Forgetting Factor Recursive Least Square and Multi-Innovation Unscented Kalman Filter Algorithm". Energies 15, n.º 4 (18 de febrero de 2022): 1529. http://dx.doi.org/10.3390/en15041529.
Texto completoBhagavatula, Sai Vasudeva, Venkata Rupesh Bharadwaj Yellamraju, Karthik Chandra Eltem, Phaneendra Babu Bobba y Naveenkumar Marati. "ANN based Battery Health Monitoring - A Comprehensive Review". E3S Web of Conferences 184 (2020): 01068. http://dx.doi.org/10.1051/e3sconf/202018401068.
Texto completoLee, Jong-Hyun y In-Soo Lee. "Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries". Sensors 22, n.º 15 (25 de julio de 2022): 5536. http://dx.doi.org/10.3390/s22155536.
Texto completoBi, Jikai, Jae-Cheon Lee y Hao Liu. "Performance Comparison of Long Short-Term Memory and a Temporal Convolutional Network for State of Health Estimation of a Lithium-Ion Battery using Its Charging Characteristics". Energies 15, n.º 7 (26 de marzo de 2022): 2448. http://dx.doi.org/10.3390/en15072448.
Texto completoLi, Weihan, Monika Rentemeister, Julia Badeda, Dominik Jöst, Dominik Schulte y Dirk Uwe Sauer. "Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation". Journal of Energy Storage 30 (agosto de 2020): 101557. http://dx.doi.org/10.1016/j.est.2020.101557.
Texto completode la Peña Llerandi, Jaime, Carlos Sancho de Mingo y José Carpio Ibáñez. "Continuous Battery Health Diagnosis by On-Line Internal Resistance Measuring". Energies 12, n.º 14 (23 de julio de 2019): 2836. http://dx.doi.org/10.3390/en12142836.
Texto completoLin, Ho-Ta, Tsorng-Juu Liang y Shih-Ming Chen. "Estimation of Battery State of Health Using Probabilistic Neural Network". IEEE Transactions on Industrial Informatics 9, n.º 2 (mayo de 2013): 679–85. http://dx.doi.org/10.1109/tii.2012.2222650.
Texto completoYan, Xiang Wu, Qi Guo y Heng Bo Xu. "A Novel Method to Estimate the State of Health of each Cell in Battery Pack". Advanced Materials Research 1044-1045 (octubre de 2014): 545–48. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.545.
Texto completoBustos, Richard, S. Andrew Gadsden, Mohammad Al-Shabi y Shohel Mahmud. "Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles". Applied Sciences 13, n.º 2 (14 de enero de 2023): 1132. http://dx.doi.org/10.3390/app13021132.
Texto completoBarragán-Moreno, Alberto, Erik Schaltz, Alejandro Gismero y Daniel-Ioan Stroe. "Capacity State-of-Health Estimation of Electric Vehicle Batteries Using Machine Learning and Impedance Measurements". Electronics 11, n.º 9 (28 de abril de 2022): 1414. http://dx.doi.org/10.3390/electronics11091414.
Texto completoJiang, Shida y Zhengxiang Song. "Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance". Energies 14, n.º 16 (8 de agosto de 2021): 4833. http://dx.doi.org/10.3390/en14164833.
Texto completoNing, Jing, Bing Xiao, Wenhui Zhong y Bin Xiao. "A rapid detection method for the battery state of health". Measurement 189 (febrero de 2022): 110502. http://dx.doi.org/10.1016/j.measurement.2021.110502.
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