Velocity predictors for predictive energy management in hybrid electric vehicles C Sun, X Hu, SJ Moura, F Sun IEEE Transactions on Control Systems Technology 23 (3), 1197-1204, 2014 | 540 | 2014 |
Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles C Sun, F Sun, H He Applied energy 185, 1644-1653, 2017 | 353 | 2017 |
Dynamic traffic feedback data enabled energy management in plug-in hybrid electric vehicles C Sun, SJ Moura, X Hu, JK Hedrick, F Sun IEEE Transactions on Control Systems Technology 23 (3), 1075-1086, 2014 | 347 | 2014 |
Comparison of parametric and non-parametric approaches for vehicle speed prediction S Lefèvre, C Sun, R Bajcsy, C Laugier 2014 American Control Conference, 3494-3499, 2014 | 194 | 2014 |
Optimal eco-driving control of connected and autonomous vehicles through signalized intersections C Sun, J Guanetti, F Borrelli, SJ Moura IEEE Internet of Things Journal 7 (5), 3759-3773, 2020 | 169 | 2020 |
Nonlinear predictive energy management of residential buildings with photovoltaics & batteries C Sun, F Sun, SJ Moura Journal of Power Sources 325, 723-731, 2016 | 122 | 2016 |
Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection W Huo, W Li, Z Zhang, C Sun, F Zhou, G Gong Energy Conversion and Management 243, 114367, 2021 | 119 | 2021 |
ARIMA-based road gradient and vehicle velocity prediction for hybrid electric vehicle energy management J Guo, H He, C Sun IEEE Transactions on Vehicular Technology 68 (6), 5309-5320, 2019 | 119 | 2019 |
Real-time global driving cycle construction and the application to economy driving pro system in plug-in hybrid electric vehicles H Hongwen, G Jinquan, P Jiankun, T Huachun, S Chao Energy 152, 95-107, 2018 | 96 | 2018 |
Lithium-ion battery overcharging thermal characteristics analysis and an impedance-based electro-thermal coupled model simulation J Li, D Sun, X Jin, W Shi, C Sun Applied Energy 254, 113574, 2019 | 81 | 2019 |
Predictive air-conditioner control for electric buses with passenger amount variation forecast H He, M Yan, C Sun*, J Peng, M Li, H Jia Applied Energy, 2017 | 69 | 2017 |
A method for identification of driving patterns in hybrid electric vehicles based on a LVQ neural network H He, C Sun*, X Zhang Energies 5 (9), 3363-3380, 2012 | 69 | 2012 |
Robust optimal eco-driving control with uncertain traffic signal timing C Sun, X Shen, S Moura 2018 annual American control conference (ACC), 5548-5553, 2018 | 56 | 2018 |
Co-optimization method of speed planning and energy management for fuel cell vehicles through signalized intersections X Wei, J Leng, C Sun, W Huo, Q Ren, F Sun Journal of Power Sources 518, 230598, 2022 | 48 | 2022 |
Bi-level convex optimization of eco-driving for connected Fuel Cell Hybrid Electric Vehicles through signalized intersections B Liu, C Sun, B Wang, W Liang, Q Ren, J Li, F Sun Energy 252, 123956, 2022 | 45 | 2022 |
Integrating traffic velocity data into predictive energy management of plug-in hybrid electric vehicles C Sun, F Sun, X Hu, JK Hedrick, S Moura 2015 American control conference (ACC), 3267-3272, 2015 | 41 | 2015 |
Rule-based energy management for dual-source electric buses extracted by wavelet transform M Yan, M Li, H He, J Peng, C Sun Journal of Cleaner Production 189, 116-127, 2018 | 38 | 2018 |
Stochastic model predictive control of air conditioning system for electric vehicles: Sensitivity study, comparison, and improvement H He, H Jia, C Sun, F Sun IEEE Transactions on Industrial Informatics 14 (9), 4179-4189, 2018 | 36 | 2018 |
Robust eco-driving control of autonomous vehicles connected to traffic lights C Sun, J Guanetti, F Borrelli, S Moura arXiv preprint arXiv:1802.05815, 2018 | 36 | 2018 |
Data enabled predictive energy management of a PV-battery smart home nanogrid C Sun, F Sun, SJ Moura 2015 American control conference (ACC), 1023-1028, 2015 | 36 | 2015 |