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Zonghai Chen
Zonghai Chen
Verified email at ustc.edu.cn
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Cited by
Year
A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li, Z Chen
Renewable and Sustainable Energy Reviews 131, 110015, 2020
8062020
A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
D Yang, X Zhang, R Pan, Y Wang, Z Chen
Journal of Power Sources 384, 387-395, 2018
5752018
Remaining useful life prediction and state of health diagnosis for lithium-ion batteries using particle filter and support vector regression
J Wei, G Dong, Z Chen
IEEE Transactions on Industrial Electronics 65 (7), 5634-5643, 2017
5032017
An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
J Wu, C Zhang, Z Chen
Applied energy 173, 134-140, 2016
4492016
A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries
Y He, XT Liu, CB Zhang, ZH Chen
Applied energy 101, 808-814, 2013
3242013
A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis
L Zhong, C Zhang, Y He, Z Chen
Applied energy 113, 558-564, 2014
2752014
A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation
X Liu, Z Chen, C Zhang, J Wu
Applied Energy 123, 263-272, 2014
2482014
A method for state-of-charge estimation of LiFePO4 batteries at dynamic currents and temperatures using particle filter
Y Wang, C Zhang, Z Chen
Journal of power sources 279, 306-311, 2015
2412015
A novel state of health estimation method of Li-ion battery using group method of data handling
J Wu, Y Wang, X Zhang, Z Chen
Journal of Power Sources 327, 457-464, 2016
2212016
Battery health prognosis using Brownian motion modeling and particle filtering
G Dong, Z Chen, J Wei, Q Ling
IEEE Transactions on Industrial Electronics 65 (11), 8646-8655, 2018
2142018
Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine
Y Wang, Z Sun, Z Chen
Applied energy 254, 113707, 2019
2102019
A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries
Y Wang, C Zhang, Z Chen
Applied energy 135, 81-87, 2014
2102014
State-of-health estimation for the lithium-ion battery based on support vector regression
D Yang, Y Wang, R Pan, R Chen, Z Chen
Applied Energy 227, 273-283, 2018
1992018
Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator
Y Wang, C Liu, R Pan, Z Chen
Energy 121, 739-750, 2017
1972017
A method for state of energy estimation of lithium-ion batteries based on neural network model
G Dong, X Zhang, C Zhang, Z Chen
Energy 90, 879-888, 2015
1782015
A method for state of energy estimation of lithium-ion batteries at dynamic currents and temperatures
X Liu, J Wu, C Zhang, Z Chen
Journal of Power Sources 270, 151-157, 2014
1762014
Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method
G Dong, J Wei, C Zhang, Z Chen
Applied Energy 162, 163-171, 2016
1732016
Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle
X Li, Y Wang, D Yang, Z Chen
Journal of Power Sources 440, 227105, 2019
1582019
A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems
Y Wang, L Wang, M Li, Z Chen
ETransportation 4, 100064, 2020
1552020
A neural network based state-of-health estimation of lithium-ion battery in electric vehicles
D Yang, Y Wang, R Pan, R Chen, Z Chen
Energy Procedia 105, 2059-2064, 2017
1512017
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