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