|3/2019 - 1|
Modeling of Back-Propagation Neural Network Based State-of-Charge Estimation for Lithium-Ion Batteries with Consideration of Capacity AttenuationZHANG, S. , GUO, X. , ZHANG, X.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (482 KB) | Citation | Downloads: 1,402 | Views: 2,878|
attenuation measurement, backpropagation, battery management systems, lithium batteries, neural networks
state(38), charge(30), estimation(28), power(24), lithium(24), battery(24), energy(23), batteries(22), sources(18), jjpowsour(16)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2019-08-31
Volume 19, Issue 3, Year 2019, On page(s): 3 - 10
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.03001
Web of Science Accession Number: 000486574100001
SCOPUS ID: 85072196257
The state of charge of lithium-ion batteries reflects the power available in the battery. Precise SOC estimation is a challenging task for battery management system. In this paper, a novel hybrid method by fusion of back-propagation (BP) neural network and improved ampere-hour counting method is proposed for SOC estimation of lithium-ion battery, which considers the impact of battery capacity attenuation on SOC estimation during the process of charging and discharging. The predictive accuracy and effectiveness of model are validated by NASA lithium-ion battery dataset. Moreover, the adaptability and feasibility of this method are further demonstrated using dataset of accelerated life experiment. The validation results indicate that the proposed method can provide accurate SOC estimation in different capacity attenuation stage.
Web of Science® Times Cited: 19 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 18
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
 A Review on Battery Modelling Techniques, Tamilselvi, S., Gunasundari, S., Karuppiah, N., Razak RK, Abdul, Madhusudan, S., Nagarajan, Vikas Madhav, Sathish, T., Shamim, Mohammed Zubair M., Saleel, C. Ahamed, Afzal, Asif, Sustainability, ISSN 2071-1050, Issue 18, Volume 13, 2021.
Digital Object Identifier: 10.3390/su131810042 [CrossRef]
 An improved adaptive unscented kalman filtering for state of charge online estimation of lithium-ion battery, Zhang, Shuzhi, Guo, Xu, Zhang, Xiongwen, Journal of Energy Storage, ISSN 2352-152X, Issue , 2020.
Digital Object Identifier: 10.1016/j.est.2020.101980 [CrossRef]
 Co-estimation for capacity and state of charge for lithium-ion batteries using improved adaptive extended Kalman filter, Nian, Peng, Shuzhi, Zhang, Xiongwen, Zhang, Journal of Energy Storage, ISSN 2352-152X, Issue , 2021.
Digital Object Identifier: 10.1016/j.est.2021.102559 [CrossRef]
 A novel one-way transmitted co-estimation framework for capacity and state-of-charge of lithium-ion battery based on double adaptive extended Kalman filters, Shuzhi, Zhang, Xu, Guo, Xiongwen, Zhang, Journal of Energy Storage, ISSN 2352-152X, Issue , 2021.
Digital Object Identifier: 10.1016/j.est.2020.102093 [CrossRef]
 Nonlinear Modeling of Lithium-Ion Battery Cells for Electric Vehicles using a Hammerstein–Wiener Model, Khalfi, Jaouad, Boumaaz, Najib, Soulmani, Abdallah, Laadissi, El Mehdi, Journal of Electrical Engineering & Technology, ISSN 1975-0102, Issue 2, Volume 16, 2021.
Digital Object Identifier: 10.1007/s42835-020-00607-2 [CrossRef]
 A novel fuzzy‐extended Kalman filter‐ampere‐hour (F‐EKF‐Ah) algorithm based on improved second‐order PNGV model to estimate state of charge of lithium‐ion batteries, Liu, Donglei, Wang, Shunli, Fan, Yongcun, Xia, Lili, Qiu, Jingsong, International Journal of Circuit Theory and Applications, ISSN 0098-9886, 2022.
Digital Object Identifier: 10.1002/cta.3386 [CrossRef]
 A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis, Zhang, Shuzhi, Guo, Xu, Dou, Xiaoxin, Zhang, Xiongwen, Journal of Power Sources, ISSN 0378-7753, Issue , 2020.
Digital Object Identifier: 10.1016/j.jpowsour.2020.228740 [CrossRef]
 A purpose-oriented shuffled complex evolution optimization algorithm for energy management of multi-microgrid systems considering outage duration uncertainty, Bayat, Peyman, Afrakhte, Hossein, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 2, Volume 38, 2020.
Digital Object Identifier: 10.3233/JIFS-190666 [CrossRef]
 Online parameters identification and state of charge estimation for lithium‐ion batteries using improved adaptive dual unscented Kalman filter, Peng, Nian, Zhang, Shuzhi, Guo, Xu, Zhang, Xiongwen, International Journal of Energy Research, ISSN 0363-907X, Issue 1, Volume 45, 2021.
Digital Object Identifier: 10.1002/er.6088 [CrossRef]
 A data-driven coulomb counting method for state of charge calibration and estimation of lithium-ion battery, Zhang, Shuzhi, Guo, Xu, Dou, Xiaoxin, Zhang, Xiongwen, Sustainable Energy Technologies and Assessments, ISSN 2213-1388, Issue , 2020.
Digital Object Identifier: 10.1016/j.seta.2020.100752 [CrossRef]
 A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries, Qiao, Jialu, Wang, Shunli, Yu, Chunmei, Shi, Weihao, Fernandez, Carlos, International Journal of Circuit Theory and Applications, ISSN 0098-9886, Issue 11, Volume 49, 2021.
Digital Object Identifier: 10.1002/cta.3115 [CrossRef]
 A novel Drosophila‐back propagation method for the lithium‐ion battery state of charge estimation adaptive to complex working conditions, Xu, Hong, Wang, Shunli, Fan, Yongcun, Qiao, Jialu, Xu, Wenhua, International Journal of Energy Research, ISSN 0363-907X, Issue 11, Volume 46, 2022.
Digital Object Identifier: 10.1002/er.8286 [CrossRef]
 Multi-objective decision analysis for data-driven based estimation of battery states: A case study of remaining useful life estimation, Zhang, Shuzhi, Guo, Xu, Zhang, Xiongwen, International Journal of Hydrogen Energy, ISSN 0360-3199, Issue 27, Volume 45, 2020.
Digital Object Identifier: 10.1016/j.ijhydene.2020.03.100 [CrossRef]
 Adaptive iterative working state prediction based on the double unscented transformation and dynamic functioning for unmanned aerial vehicle lithium-ion batteries, Shi, Haotian, Wang, Shunli, Fernandez, Carlos, Yu, Chunmei, Li, Xiaoxia, Zou, Chuanyun, Measurement and Control, ISSN 0020-2940, Issue 9-10, Volume 53, 2020.
Digital Object Identifier: 10.1177/0020294020923057 [CrossRef]
 Development of IoT Based Battery Management System, ceven, Suleyman, Kucukkulahli, Enver, Albayrak, Ahmet, Bicen, Yunus, 2021 2nd International Informatics and Software Engineering Conference (IISEC), ISBN 978-1-6654-0759-5, 2021.
Digital Object Identifier: 10.1109/IISEC54230.2021.9672346 [CrossRef]
 State Of Charge Estimation of Lithium Battery Based on Exogenous Kalman Filter, Liu, Yu, Xiang, Jiawei, Shao, Liang, Song, Chenqi, 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST), ISBN 978-1-6654-0267-5, 2021.
Digital Object Identifier: 10.1109/IAECST54258.2021.9695578 [CrossRef]
 Performance of different Electric vehicle Battery packs at low temperature and Analysis of Intelligent SOC experiment, Gao, Le, Cai, Li, Feng, Yuming, Dai, Nina, Xu, Qingshan, 2021 13th International Conference on Advanced Computational Intelligence (ICACI), ISBN 978-1-6654-1254-4, 2021.
Digital Object Identifier: 10.1109/ICACI52617.2021.9435901 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.