| Energy management strategies for hybrid electric vehicles: Review, classification, comparison, and outlook F Zhang, L Wang, S Coskun, H Pang, Y Cui, J Xi Energies 13 (13), 3352, 2020 | 201 | 2020 |
| Variable universe fuzzy control for vehicle semi-active suspension system with MR damper combining fuzzy neural network and particle swarm optimization H Pang, F Liu, Z Xu Neurocomputing 306, 130-140, 2018 | 175 | 2018 |
| Adaptive backstepping-based tracking control design for nonlinear active suspension system with parameter uncertainties and safety constraints H Pang, X Zhang, Z Xu ISA transactions 88, 23-36, 2019 | 107 | 2019 |
| Parameter identification and systematic validation of an enhanced single-particle model with aging degradation physics for Li-ion batteries H Pang, L Mou, L Guo, F Zhang Electrochimica Acta 307, 474-487, 2019 | 95 | 2019 |
| Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery L Wu, K Liu, H Pang Electrochimica Acta 368, 137604, 2021 | 90 | 2021 |
| A novel extended Kalman filter-based battery internal and surface temperature estimation based on an improved electro-thermal model H Pang, L Guo, L Wu, J Jin, F Zhang, K Liu Journal of Energy Storage 41, 102854, 2021 | 85 | 2021 |
| Physics-informed neural network approach for heat generation rate estimation of lithium-ion battery under various driving conditions H Pang, L Wu, J Liu, X Liu, K Liu Journal of Energy Chemistry 78, 1-12, 2023 | 84 | 2023 |
| Adaptive energy management in automated hybrid electric vehicles with flexible torque request F Zhang, X Hu, R Langari, L Wang, Y Cui, H Pang Energy 214, 118873, 2021 | 70 | 2021 |
| Adaptive backstepping‐based control design for uncertain nonlinear active suspension system with input delay H Pang, X Zhang, J Yang, Y Shang International Journal of Robust and Nonlinear Control 29 (16), 5781-5800, 2019 | 69 | 2019 |
| Low‐complexity state of charge and anode potential prediction for lithium‐ion batteries using a simplified electrochemical model‐based observer under variable load condition L Wu, H Pang, Y Geng, X Liu, J Liu, K Liu International Journal of Energy Research 46 (9), 11834-11848, 2022 | 65 | 2022 |
| Design of a coordinated adaptive backstepping tracking control for nonlinear uncertain active suspension system H Pang, X Zhang, J Chen, K Liu Applied Mathematical Modelling 76, 479-494, 2019 | 64 | 2019 |
| Computationally efficient energy management for hybrid electric vehicles using model predictive control and vehicle-to-vehicle communication F Zhang, X Hu, T Liu, K Xu, Z Duan, H Pang IEEE Transactions on Vehicular Technology 70 (1), 237-250, 2020 | 58 | 2020 |
| A practical trajectory tracking control of autonomous vehicles using linear time-varying MPC method H Pang, N Liu, C Hu, Z Xu Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2022 | 57 | 2022 |
| Evaluating the heat generation characteristics of cylindrical lithium-ion battery considering the discharge rates and N/P ratio L Wu, K Liu, J Liu, H Pang Journal of Energy Storage 64, 107182, 2023 | 51 | 2023 |
| Comparative study of energy management in parallel hybrid electric vehicles considering battery ageing F Zhang, L Xiao, S Coskun, H Pang, S Xie, K Liu, Y Cui Energy 264, 123219, 2023 | 47 | 2023 |
| Online SOC estimation based on simplified electrochemical model for lithium-ion batteries considering current bias L Wu, K Liu, H Pang, J Jin Energies 14 (17), 5265, 2021 | 46 | 2021 |
| An enhanced temperature‐dependent model and state‐of‐charge estimation for a Li‐Ion battery using extended Kalman filter H Pang, L Guo, L Wu, X Jin International Journal of Energy Research 44 (9), 7254-7267, 2020 | 46 | 2020 |
| Design of LQG controller for active suspension without considering road input signals H Pang, Y Chen, JN Chen, X Liu Shock and Vibration 2017 (1), 6573567, 2017 | 45 | 2017 |
| Robust state-feedback control design for active suspension system with time-varying input delay and wheelbase preview information H Pang, Y Wang, X Zhang, Z Xu Journal of the Franklin Institute 356 (4), 1899-1923, 2019 | 44 | 2019 |
| Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter H Pang, K Chen, Y Geng, L Wu, F Wang, J Liu Energy 293, 130555, 2024 | 42 | 2024 |
Fengqi ZhangAssistant Professor, Xi'an University of TechnologyDirección de correo verificada de xaut.edu.cn