Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods Y Zhao, P Liu, Z Wang, L Zhang, J Hong Applied Energy 207, 354-362, 2017 | 327 | 2017 |
Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks J Hong, Z Wang, Y Yao Applied Energy 251, 113381, 2019 | 271 | 2019 |
Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles Z Wang, J Hong, P Liu, L Zhang Applied energy 196, 289-302, 2017 | 239 | 2017 |
Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles J Hong, Z Wang, W Chen, LY Wang, C Qu Journal of Energy Storage 30, 101459, 2020 | 131 | 2020 |
Online accurate state of health estimation for battery systems on real-world electric vehicles with variable driving conditions considered J Hong, Z Wang, W Chen, L Wang, P Lin, C Qu Journal of Cleaner Production 294, 125814, 2021 | 123 | 2021 |
Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks J Hong, Z Wang, W Chen, Y Yao Applied Energy 254, 113648, 2019 | 85 | 2019 |
Big-data-based thermal runaway prognosis of battery systems for electric vehicles J Hong, Z Wang, P Liu Energies 10 (7), 919, 2017 | 77 | 2017 |
Thermal runaway prognosis of battery systems using the modified multiscale entropy in real-world electric vehicles J Hong, Z Wang, F Ma, J Yang, X Xu, C Qu, J Zhang, T Shan, Y Hou, ... IEEE Transactions on Transportation Electrification 7 (4), 2269-2278, 2021 | 76 | 2021 |
Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles J Hong, Z Wang, C Qu, Y Zhou, T Shan, J Zhang, Y Hou Applied Energy 321, 119229, 2022 | 72 | 2022 |
Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles R Li, J Hong, H Zhang, X Chen Energy 257, 124771, 2022 | 55 | 2022 |
Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle J Yang, T Zhang, J Hong, H Zhang, Q Zhao, Z Meng Energy 233, 121221, 2021 | 55 | 2021 |
Hydrogen engine operation strategies: recent progress, industrialization challenges, and perspectives Z Sun, J Hong, T Zhang, B Sun, B Yang, L Lu, L Li, K Wu International Journal of Hydrogen Energy 48 (1), 366-392, 2023 | 54 | 2023 |
Multi‐fault synergistic diagnosis of battery systems based on the modified multi‐scale entropy J Hong, Z Wang, W Chen, L Wang International Journal of Energy Research 43 (14), 8350-8369, 2019 | 43 | 2019 |
Battery voltage and state of power prediction based on an improved novel polarization voltage model P Lin, P Jin, J Hong, Z Wang Energy Reports 6, 2299-2308, 2020 | 40 | 2020 |
Data-driven energy management and velocity prediction for four-wheel-independent-driving electric vehicles J Liu, Z Wang, Y Hou, C Qu, J Hong, N Lin ETransportation 9, 100119, 2021 | 37 | 2021 |
Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks J Hong, H Zhang, X Xu Applied Thermal Engineering 226, 120304, 2023 | 36 | 2023 |
A novel mechanical-electric-hydraulic power coupling electric vehicle considering different electrohydraulic distribution ratios J Hong, F Ma, X Xu, J Yang, H Zhang Energy Conversion and Management 249, 114870, 2021 | 35 | 2021 |
Research on integration simulation and balance control of a novel load isolated pure electric driving system J Hong, Z Wang, T Zhang, H Yin, H Zhang, W Huo, Y Zhang, Y Li Energy 189, 116220, 2019 | 31 | 2019 |
Accurate state of charge prediction for real-world battery systems using a novel dual-dropout-based neural network R Li, H Wang, H Dai, J Hong, G Tong, X Chen Energy 250, 123853, 2022 | 29 | 2022 |
Electric vehicle battery fault diagnosis based on statistical method Y Zhao, P Liu, Z Wang, J Hong Energy Procedia 105, 2366-2371, 2017 | 29 | 2017 |