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Online state of charge and model parameter co-estimation based on a novel multi-timescale estimator for vanadium redox flow battery

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Cited by:

  1. Bo Jiang & Haifeng Dai & Xuezhe Wei & Letao Zhu & Zechang Sun, 2017. "Online Reliable Peak Charge/Discharge Power Estimation of Series-Connected Lithium-Ion Battery Packs," Energies, MDPI, vol. 10(3), pages 1-22, March.
  2. Bizhong Xia & Zizhou Lao & Ruifeng Zhang & Yong Tian & Guanghao Chen & Zhen Sun & Wei Wang & Wei Sun & Yongzhi Lai & Mingwang Wang & Huawen Wang, 2017. "Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-23, December.
  3. Badrinarayanan, Rajagopalan & Tseng, King Jet & Soong, Boon Hee & Wei, Zhongbao, 2017. "Modelling and control of vanadium redox flow battery for profile based charging applications," Energy, Elsevier, vol. 141(C), pages 1479-1488.
  4. Haonan Tian & Zhongbao Wei & Sriram Vaisambhayana & Madasamy Thevar & Anshuman Tripathi & Philip Kjær, 2019. "A Coupled, Semi-Numerical Model for Thermal Analysis of Medium Frequency Transformer," Energies, MDPI, vol. 12(2), pages 1-16, January.
  5. Henrik Zsiborács & Gábor Pintér & Attila Bai & József Popp & Zoltán Gabnai & Béla Pályi & István Farkas & Nóra Hegedűsné Baranyai & Christian Gützer & Heidelinde Trimmel & Sandro Oswald & Philipp Weih, 2018. "Comparison of Thermal Models for Ground-Mounted South-Facing Photovoltaic Technologies: A Practical Case Study," Energies, MDPI, vol. 11(5), pages 1-18, May.
  6. Miaomiao Zeng & Peng Zhang & Yang Yang & Changjun Xie & Ying Shi, 2019. "SOC and SOH Joint Estimation of the Power Batteries Based on Fuzzy Unscented Kalman Filtering Algorithm," Energies, MDPI, vol. 12(16), pages 1-15, August.
  7. Jiang, H.R. & Shyy, W. & Ren, Y.X. & Zhang, R.H. & Zhao, T.S., 2019. "A room-temperature activated graphite felt as the cost-effective, highly active and stable electrode for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 233, pages 544-553.
  8. Allafi, Walid & Uddin, Kotub & Zhang, Cheng & Mazuir Raja Ahsan Sha, Raja & Marco, James, 2017. "On-line scheme for parameter estimation of nonlinear lithium ion battery equivalent circuit models using the simplified refined instrumental variable method for a modified Wiener continuous-time model," Applied Energy, Elsevier, vol. 204(C), pages 497-508.
  9. Dai, Haifeng & Xu, Tianjiao & Zhu, Letao & Wei, Xuezhe & Sun, Zechang, 2016. "Adaptive model parameter identification for large capacity Li-ion batteries on separated time scales," Applied Energy, Elsevier, vol. 184(C), pages 119-131.
  10. Shujuan Meng & Binyu Xiong & Tuti Mariana Lim, 2019. "Model-Based Condition Monitoring of a Vanadium Redox Flow Battery," Energies, MDPI, vol. 12(15), pages 1-16, August.
  11. Wei, L. & Zeng, L. & Wu, M.C. & Fan, X.Z. & Zhao, T.S., 2019. "Seawater as an alternative to deionized water for electrolyte preparations in vanadium redox flow batteries," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  12. Wei, Zhongbao & Meng, Shujuan & Xiong, Binyu & Ji, Dongxu & Tseng, King Jet, 2016. "Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer," Applied Energy, Elsevier, vol. 181(C), pages 332-341.
  13. Yang, Jufeng & Xia, Bing & Huang, Wenxin & Fu, Yuhong & Mi, Chris, 2018. "Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis," Applied Energy, Elsevier, vol. 212(C), pages 1589-1600.
  14. Boram Koo & Dongcheul Lee & Jaeshin Yi & Chee Burm Shin & Dong Joo Kim & Eun Mi Choi & Tae Hyuk Kang, 2019. "Modeling the Performance of a Zinc/Bromine Flow Battery," Energies, MDPI, vol. 12(6), pages 1-13, March.
  15. Zeng, Yikai & Li, Fenghao & Lu, Fei & Zhou, Xuelong & Yuan, Yanping & Cao, Xiaoling & Xiang, Bo, 2019. "A hierarchical interdigitated flow field design for scale-up of high-performance redox flow batteries," Applied Energy, Elsevier, vol. 238(C), pages 435-441.
  16. Zou, Changfu & Hu, Xiaosong & Wei, Zhongbao & Tang, Xiaolin, 2017. "Electrothermal dynamics-conscious lithium-ion battery cell-level charging management via state-monitored predictive control," Energy, Elsevier, vol. 141(C), pages 250-259.
  17. Zhang, Cheng & Allafi, Walid & Dinh, Quang & Ascencio, Pedro & Marco, James, 2018. "Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique," Energy, Elsevier, vol. 142(C), pages 678-688.
  18. Wang, Yujie & Chen, Zonghai & Zhang, Chenbin, 2017. "On-line remaining energy prediction: A case study in embedded battery management system," Applied Energy, Elsevier, vol. 194(C), pages 688-695.
  19. Tang, Xiaopeng & Gao, Furong & Zou, Changfu & Yao, Ke & Hu, Wengui & Wik, Torsten, 2019. "Load-responsive model switching estimation for state of charge of lithium-ion batteries," Applied Energy, Elsevier, vol. 238(C), pages 423-434.
  20. Bhattacharjee, Ankur & Saha, Hiranmay, 2018. "Development of an efficient thermal management system for Vanadium Redox Flow Battery under different charge-discharge conditions," Applied Energy, Elsevier, vol. 230(C), pages 1182-1192.
  21. Chen, Biao & Jiang, Haobin & Chen, Xijia & Li, Huanhuan, 2022. "Robust state-of-charge estimation for lithium-ion batteries based on an improved gas-liquid dynamics model," Energy, Elsevier, vol. 238(PC).
  22. Souentie, Stamatios & Amr, Issam & Alsuhaibani, Abdulrahman & Almazroei, Essa & Hammad, Ahmad D., 2017. "Temperature, charging current and state of charge effects on iron-vanadium flow batteries operation," Applied Energy, Elsevier, vol. 206(C), pages 568-576.
  23. Kim, Dong Kyu & Yoon, Sang Jun & Lee, Jaeho & Kim, Sangwon, 2018. "Parametric study and flow rate optimization of all-vanadium redox flow batteries," Applied Energy, Elsevier, vol. 228(C), pages 891-901.
  24. Kim, Jungmyung & Park, Heesung, 2017. "Experimental analysis of discharge characteristics in vanadium redox flow battery," Applied Energy, Elsevier, vol. 206(C), pages 451-457.
  25. Li, Yifeng & Bao, Jie & Skyllas-Kazacos, Maria & Akter, Md Parvez & Zhang, Xinan & Fletcher, John, 2019. "Studies on dynamic responses and impedance of the vanadium redox flow battery," Applied Energy, Elsevier, vol. 237(C), pages 91-102.
  26. Wang, Q. & Qu, Z.G. & Jiang, Z.Y. & Yang, W.W., 2018. "Experimental study on the performance of a vanadium redox flow battery with non-uniformly compressed carbon felt electrode," Applied Energy, Elsevier, vol. 213(C), pages 293-305.
  27. Jiale Xie & Jiachen Ma & Jun Chen, 2018. "Peukert-Equation-Based State-of-Charge Estimation for LiFePO4 Batteries Considering the Battery Thermal Evolution Effect," Energies, MDPI, vol. 11(5), pages 1-14, May.
  28. Yigeng Huangfu & Jiani Xu & Dongdong Zhao & Yuntian Liu & Fei Gao, 2018. "A Novel Battery State of Charge Estimation Method Based on a Super-Twisting Sliding Mode Observer," Energies, MDPI, vol. 11(5), pages 1-21, May.
  29. Li, Yanwen & Wang, Chao & Gong, Jinfeng, 2017. "A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique," Energy, Elsevier, vol. 141(C), pages 1402-1415.
  30. Wei, Zhongbao & Zhao, Jiyun & Ji, Dongxu & Tseng, King Jet, 2017. "A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model," Applied Energy, Elsevier, vol. 204(C), pages 1264-1274.
  31. Zizhou Lao & Bizhong Xia & Wei Wang & Wei Sun & Yongzhi Lai & Mingwang Wang, 2018. "A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares," Energies, MDPI, vol. 11(6), pages 1-15, May.
  32. Wei, L. & Zhao, T.S. & Zeng, L. & Zhou, X.L. & Zeng, Y.K., 2016. "Copper nanoparticle-deposited graphite felt electrodes for all vanadium redox flow batteries," Applied Energy, Elsevier, vol. 180(C), pages 386-391.
  33. Chao-Tsung Ma, 2020. "A Novel State of Charge Estimating Scheme Based on an Air-Gap Fiber Interferometer Sensor for the Vanadium Redox Flow Battery," Energies, MDPI, vol. 13(2), pages 1-13, January.
  34. Zhao, Xin & de Callafon, Raymond A., 2016. "Modeling of battery dynamics and hysteresis for power delivery prediction and SOC estimation," Applied Energy, Elsevier, vol. 180(C), pages 823-833.
  35. Li, Xiangrong & Xiong, Jing & Tang, Ao & Qin, Ye & Liu, Jianguo & Yan, Chuanwei, 2018. "Investigation of the use of electrolyte viscosity for online state-of-charge monitoring design in vanadium redox flow battery," Applied Energy, Elsevier, vol. 211(C), pages 1050-1059.
  36. Wei, L. & Wu, M.C. & Zhao, T.S. & Zeng, Y.K. & Ren, Y.X., 2018. "An aqueous alkaline battery consisting of inexpensive all-iron redox chemistries for large-scale energy storage," Applied Energy, Elsevier, vol. 215(C), pages 98-105.
  37. Alejandro Clemente & Ramon Costa-Castelló, 2020. "Redox Flow Batteries: A Literature Review Oriented to Automatic Control," Energies, MDPI, vol. 13(17), pages 1-31, September.
  38. Jiang, H.R. & Shyy, W. & Wu, M.C. & Zhang, R.H. & Zhao, T.S., 2019. "A bi-porous graphite felt electrode with enhanced surface area and catalytic activity for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 233, pages 105-113.
  39. Pugach, M. & Kondratenko, M. & Briola, S. & Bischi, A., 2018. "Zero dimensional dynamic model of vanadium redox flow battery cell incorporating all modes of vanadium ions crossover," Applied Energy, Elsevier, vol. 226(C), pages 560-569.
  40. Pugach, M. & Vyshinsky, V. & Bischi, A., 2019. "Energy efficiency analysis for a kilo-watt class vanadium redox flow battery system," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  41. Muhammad Umair Ali & Muhammad Ahmad Kamran & Pandiyan Sathish Kumar & Himanshu & Sarvar Hussain Nengroo & Muhammad Adil Khan & Altaf Hussain & Hee-Je Kim, 2018. "An Online Data-Driven Model Identification and Adaptive State of Charge Estimation Approach for Lithium-ion-Batteries Using the Lagrange Multiplier Method," Energies, MDPI, vol. 11(11), pages 1-19, October.
  42. Wang, Q. & Qu, Z.G. & Jiang, Z.Y. & Yang, W.W., 2018. "Numerical study on vanadium redox flow battery performance with non-uniformly compressed electrode and serpentine flow field," Applied Energy, Elsevier, vol. 220(C), pages 106-116.
  43. Jiang, H.R. & Zeng, Y.K. & Wu, M.C. & Shyy, W. & Zhao, T.S., 2019. "A uniformly distributed bismuth nanoparticle-modified carbon cloth electrode for vanadium redox flow batteries," Applied Energy, Elsevier, vol. 240(C), pages 226-235.
  44. Wei, L. & Zhao, T.S. & Xu, Q. & Zhou, X.L. & Zhang, Z.H., 2017. "In-situ investigation of hydrogen evolution behavior in vanadium redox flow batteries," Applied Energy, Elsevier, vol. 190(C), pages 1112-1118.
  45. Ana-Irina Stroe & Jinhao Meng & Daniel-Ioan Stroe & Maciej Świerczyński & Remus Teodorescu & Søren Knudsen Kær, 2018. "Influence of Battery Parametric Uncertainties on the State-of-Charge Estimation of Lithium Titanate Oxide-Based Batteries," Energies, MDPI, vol. 11(4), pages 1-19, March.
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