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  • Search: person:"Chen, ZongHai"
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Battery model 3 State-of-charge 3 Lithium-ion battery 2 Unscented particle filter 2 Active equalization 1 Available energy 1 Cell inconsistency 1 Drift current 1 Dual-particle-filter estimator 1 Equalization algorithm 1 Extended Kalman filter 1 High-power Li-ion battery 1 Inconsistency analysis 1 Li-ion battery pack 1 Multi-model switching strategy 1 Particle filter 1 Power Li-ion battery 1 Remaining capacity estimation 1 State-of-Charge 1 State-of-charge estimation 1 Temperature-compensated model 1 Total available capacity 1 Working model 1
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Article 6
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Chen, Zonghai 5 Zhang, Chenbin 5 Wang, Yujie 3 He, Yao 2 Chen, ZongHai 1 Liu, XingTao 1 Liu, Xingtao 1 Wu, Ji 1 Xie, Jing 1 Zhang, ChenBin 1 Zhang, Xu 1 Zhong, Liang 1
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Applied Energy 6
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RePEc 6
Showing 1 - 6 of 6
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A novel active equalization method for lithium-ion batteries in electric vehicles
Wang, Yujie; Zhang, Chenbin; Chen, Zonghai; Xie, Jing; … - In: Applied Energy 145 (2015) C, pp. 36-42
Cell inconsistency is inevitable due to manufacturing constraint. Therefore, cell equalization is essentially required. In this paper, we propose a novel active equalization method based on the remaining capacity of cells which is feasible for lithium-ion battery packs in electric vehicles...
Persistent link: https://www.econbiz.de/10011263332
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A method for state-of-charge estimation of Li-ion batteries based on multi-model switching strategy
Wang, Yujie; Zhang, Chenbin; Chen, Zonghai - In: Applied Energy 137 (2015) C, pp. 427-434
The accurate state-of-charge (SOC) estimation and real-time performance are critical evaluation indexes for Li-ion battery management systems (BMS). High accuracy algorithms often take long program execution time (PET) in the resource-constrained embedded application systems, which will...
Persistent link: https://www.econbiz.de/10011116021
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A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
Liu, Xingtao; Chen, Zonghai; Zhang, Chenbin; Wu, Ji - In: Applied Energy 123 (2014) C, pp. 263-272
The accurate state-of-charge (SOC) estimation of power Li-ion batteries is one of the most important issues for battery management system (BMS) in electric vehicles (EVs). Temperature has brought great impact to the accuracy of the SOC estimation, which greatly depends on appropriate battery...
Persistent link: https://www.econbiz.de/10010789841
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A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries
Wang, Yujie; Zhang, Chenbin; Chen, Zonghai - In: Applied Energy 135 (2014) C, pp. 81-87
The state-of-charge (SOC) is a critical index in battery management system (BMS) for electric vehicles (EVs). However in the energy storage systems, the available energy also acts as a significant role. Through the estimating result of state-of-energy (SOE), we can further estimate how long the...
Persistent link: https://www.econbiz.de/10011076437
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A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis
Zhong, Liang; Zhang, Chenbin; He, Yao; Chen, Zonghai - In: Applied Energy 113 (2014) C, pp. 558-564
The state-of-charge (SOC) is a critical parameter of a Li-ion battery pack. Differences among in-pack cells are inevitable and can change the total capacity of a pack and the remaining available capacity. Because the traditional methods for the estimation of the SOC of a pack did not consider...
Persistent link: https://www.econbiz.de/10010718929
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A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries
He, Yao; Liu, XingTao; Zhang, ChenBin; Chen, ZongHai - In: Applied Energy 101 (2013) C, pp. 808-814
The State-of-Charge (SOC) is an important evaluation index for power battery systems in electric vehicles. To eliminate the effects of drift noise in the current sensor, a new working model that takes the drift current as a state variable is proposed for high-power Li-ion batteries. In...
Persistent link: https://www.econbiz.de/10010593998
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