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Publications:  Dr Zheng Chen

Shu X, Li G, Shen J, Lei Z, Chen Z, Liu Y(2020). A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization. Energy vol. 204,
10.1016/j.energy.2020.117957
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64931
Shu X, Li G, Shen J, Yan W, Chen Z, Liu Y(2020). An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation. Journal of Power Sources vol. 462,
10.1016/j.jpowsour.2020.228132
https://qmro.qmul.ac.uk/xmlui/handle/123456789/65188
Chen Z, Xiao J, Shu X, Shen S, Shen J, Liu Y(2020). Model-based adaptive joint estimation of the state of charge and capacity for lithium–ion batteries in their entire lifespan. Energies vol. 13, (6)
10.3390/en13061410
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63999
Liu Y, Liu J, Qin D, Li G, Chen Z, Zhang Y(2020). Online energy management strategy of fuel cell hybrid electric vehicles based on rule learning. Journal of Cleaner Production vol. 260,
10.1016/j.jclepro.2020.121017
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63584
Wu Y, Xue Q, Shen J, Lei Z, Chen Z, Liu Y(2020). State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory. IEEE Access vol. 8, 28533-28547.
10.1109/ACCESS.2020.2972344
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63583
Zhang Y, Guo C, Li G, Liu Y, Chen Z(2019). Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation. Journal of Cleaner Production vol. 251,
10.1016/j.jclepro.2019.119627
https://qmro.qmul.ac.uk/xmlui/handle/123456789/63582
Liu Y, Liu J, Qin D, Chen Z(2019). Multi-Objective Optimization Energy Management Strategy for Fuel Cell Hybrid Vehicles Based on Rule Learning. DEStech Transactions on Environment, Energy and Earth Sciences (iceee)
10.12783/dteees/iceee2019/31798
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62012
Chen Z, Xue Q, Liu Y, Shen J, Xiao R(2019). State of Health Estimation for Lithium-Ion Batteries Based on Elman Neural Network. DEStech Transactions on Environment, Energy and Earth Sciences (iceee)
10.12783/dteees/iceee2019/31814
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62010
Lei Z, Qin D, Hou L, Peng J, Liu Y, Chen Z(2019). An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information. Energy Article 116409, 116409-116409.
10.1016/j.energy.2019.116409
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62007
Liu Y, Zhao P, Qin D, Li G, Chen Z, Zhang Y(2019). Driving Intention Identification Based on Long Short-Term Memory and A Case Study in Shifting Strategy Optimization. IEEE Access vol. 7, 128593-128605.
10.1109/ACCESS.2019.2940114
https://qmro.qmul.ac.uk/xmlui/handle/123456789/61602
Lei Z, Sun D, Liu J, Chen D, Liu Y, Chen Z(2019). Trip-Oriented Model Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles. IEEE Access vol. 7, 113771-113785.
10.1109/access.2019.2933015
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62011
Liu Y, Wang J, Zhao P, Qin D, Chen Z(2019). Research on Classification and Recognition of Driving Styles Based on Feature Engineering. IEEE Access vol. 7, 89245-89255.
10.1109/access.2019.2926593
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62009
Zhang S, Dou W, Zhang Y, Hao W, Chen Z, Liu Y(2019). A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles. IEEE Access vol. 7, 75965-75975.
10.1109/access.2019.2921949
https://qmro.qmul.ac.uk/xmlui/handle/123456789/62008
Liu Y, Li J, Lei Z, Li W, Qin D, Chen Z(2019). An Adaptive Equivalent Consumption Minimization Strategy for Plug-In Hybrid Electric Vehicles Based on Energy Balance Principle. IEEE Access vol. 7, 67589-67601.
10.1109/access.2019.2918277
https://qmro.qmul.ac.uk/xmlui/handle/123456789/61990
Chen Z, Shu X, Xiao R, Yan W, Liu Y, Shen J(2019). Optimal charging strategy design for lithium‐ion batteries considering minimization of temperature rise and energy loss. International Journal of Energy Research vol. 43, (9) 4344-4358.
10.1002/er.4560
https://qmro.qmul.ac.uk/xmlui/handle/123456789/61989
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