A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles
暂无分享,去创建一个
[1] Di Zhao,et al. An improved adaptive equivalent consumption minimization strategy for parallel plug-in hybrid electric vehicle , 2018, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.
[2] Xiaosong Hu,et al. Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles , 2015, IEEE Transactions on Control Systems Technology.
[3] Hongwen He,et al. Battery SOC constraint comparison for predictive energy management of plug-in hybrid electric bus , 2017 .
[4] Omprakash Kaiwartya,et al. Mobile Edge Computing for Big-Data-Enabled Electric Vehicle Charging , 2018, IEEE Communications Magazine.
[5] Jorge Alberto Soria-Alcaraz,et al. Symbolic Regression by Means of Grammatical Evolution with Estimation Distribution Algorithms as Search Engine , 2018, Fuzzy Logic Augmentation of Neural and Optimization Algorithms.
[6] Jelena V. Misic,et al. Security and Privacy of Connected Vehicular Cloud Computing , 2018, IEEE Netw..
[7] Lin Li,et al. Energy Management of Hybrid Electric Vehicle Using Vehicle Lateral Dynamic in Velocity Prediction , 2019, IEEE Transactions on Vehicular Technology.
[8] Chao Yang,et al. Cloud computing-based energy optimization control framework for plug-in hybrid electric bus , 2017 .
[9] Carolina P. de Almeida,et al. Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem , 2017, Journal of Heuristics.
[10] Costas Papadimitriou,et al. Bayesian Annealed Sequential Importance Sampling: An Unbiased Version of Transitional Markov Chain Monte Carlo , 2018 .
[11] Xiaosong Hu,et al. Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus , 2019, Applied Energy.
[12] Srinivas Peeta,et al. Consensus-Based Cooperative Control for Multi-Platoon Under the Connected Vehicles Environment , 2019, IEEE Transactions on Intelligent Transportation Systems.
[13] Stefano Di Cairano,et al. Stochastic Model Predictive Control , 2018, Handbook of Model Predictive Control.
[14] Rodrigo Roman,et al. Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges , 2016, Future Gener. Comput. Syst..
[15] Nan Xu,et al. Optimal energy management strategy for parallel plug-in hybrid electric vehicle based on driving behavior analysis and real time traffic information prediction , 2017 .
[16] Changsheng Xu,et al. Correlation Particle Filter for Visual Tracking , 2018, IEEE Transactions on Image Processing.
[17] Subhashis Ghosal,et al. Multivariate Gaussian Network Structure Learning , 2017 .
[18] Joanna Polanska,et al. Initializing EM algorithm for univariate Gaussian, multi-component, heteroscedastic mixture models by dynamic programming partitions , 2015, 1506.07450.
[19] Abdul Wahid,et al. Server Communication Reduction for GPS-Based Floating Car Data Traffic Congestion Detection Method , 2018, Integrated Intelligent Computing, Communication and Security.
[20] J. Karl Hedrick,et al. Integrating traffic velocity data into predictive energy management of plug-in hybrid electric vehicles , 2015, 2015 American Control Conference (ACC).
[21] Anthony Lee,et al. ‘Variance estimation in the particle filter’ , 2015, Biometrika.
[22] Yan Zhang,et al. Mobile Edge Computing: A Survey , 2018, IEEE Internet of Things Journal.
[23] Omprakash Kaiwartya,et al. Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City , 2018, Handbook of Smart Cities, Software Services and Cyber Infrastructure.
[24] J. Karl Hedrick,et al. Dynamic Traffic Feedback Data Enabled Energy Management in Plug-in Hybrid Electric Vehicles , 2015, IEEE Transactions on Control Systems Technology.
[25] Jean-Philippe Bouchaud,et al. Greedy algorithms and Zipf laws , 2018, 1801.05279.
[26] Hong Liu,et al. Blockchain-Enabled Security in Electric Vehicles Cloud and Edge Computing , 2018, IEEE Network.
[27] Mitsuo Gen,et al. Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem , 2017, J. Intell. Manuf..