Multi-physical cooperative control of plug-in hybrid electric vehicles via cyber hierarchy and interactional network

[1]  Fei Chen,et al.  Fuel consumption and exhaust emissions under varying road condition considering effects of vehicles on other lanes , 2021 .

[2]  Cong Zhai,et al.  Designing continuous delay feedback control for lattice hydrodynamic model under cyber-attacks and connected vehicle environment , 2021, Commun. Nonlinear Sci. Numer. Simul..

[3]  Dihua Sun,et al.  Analysis of mixed traffic with connected and non-connected vehicles based on lattice hydrodynamic model , 2021, Commun. Nonlinear Sci. Numer. Simul..

[4]  Shichun Yang,et al.  CHAIN: Cyber Hierarchy and Interactional Network Enabling Digital Solution for Battery Full-Lifespan Management , 2020 .

[5]  Lionel M. Ni,et al.  Generalizing from a Few Examples , 2020, ACM Comput. Surv..

[6]  Minghui Ma,et al.  An improved car-following model accounting for the time-delayed velocity difference and backward looking effect , 2020, Commun. Nonlinear Sci. Numer. Simul..

[7]  Parisa Heidari,et al.  Edge-Enabled V2X Service Placement for Intelligent Transportation Systems , 2020, IEEE Transactions on Mobile Computing.

[8]  Bin Shuai,et al.  Dual-loop online intelligent programming for driver-oriented predict energy management of plug-in hybrid electric vehicles , 2019, Applied Energy.

[9]  Siyu Du,et al.  Multi-objective real-time optimization energy management strategy for plug-in hybrid electric vehicle , 2019 .

[10]  Alberto Sangiovanni-Vincentelli,et al.  Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach , 2019, IEEE Transactions on Industrial Electronics.

[11]  Jianjun Hu,et al.  Energy management strategy based on driving pattern recognition for a dual‐motor battery electric vehicle , 2019, International Journal of Energy Research.

[12]  Jingyuan Zhan,et al.  Heuristic Dynamic Programming Based Online Energy Management Strategy for Plug-In Hybrid Electric Vehicles , 2019, IEEE Transactions on Vehicular Technology.

[13]  Changle Xiang,et al.  An Improved Energy Management Strategy for HEV Based on Driving Condition Prediction Within a Finite Time Horizon , 2019, DEStech Transactions on Environment, Energy and Earth Sciences.

[14]  Quan An,et al.  Modelling and control for economy‐oriented car‐following problem of hybrid electric vehicle , 2019, IET Intelligent Transport Systems.

[15]  Rade Grujičić,et al.  An approach to determine the minimum specific fuel consumption and engine economical operation curve model , 2019, Measurement.

[16]  C. Zhai,et al.  Analysis of drivers' characteristics on continuum model with traffic jerk effect , 2018, Physics Letters A.

[17]  Xiangyu Wang,et al.  Model predictive control strategy for energy optimization of series-parallel hybrid electric vehicle , 2018, Journal of Cleaner Production.

[18]  Jeffrey B. Burl,et al.  Catch Energy Saving Opportunity in Charge-Depletion Mode, a Real-Time Controller for Plug-In Hybrid Electric Vehicles , 2018, IEEE Transactions on Vehicular Technology.

[19]  Dongpu Cao,et al.  Simultaneous Observation of Hybrid States for Cyber-Physical Systems: A Case Study of Electric Vehicle Powertrain , 2018, IEEE Transactions on Cybernetics.

[20]  Yang Wang,et al.  Energy management strategy based on GIS information and MPC for a heavy-duty dual-mode power-split HEV , 2018, 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM).

[21]  Hui Liu,et al.  Markov velocity predictor and radial basis function neural network-based real-time energy management strategy for plug-in hybrid electric vehicles , 2018, Energy.

[22]  He Tian,et al.  Adaptive Fuzzy Logic Energy Management Strategy Based on Reasonable SOC Reference Curve for Online Control of Plug-in Hybrid Electric City Bus , 2018, IEEE Transactions on Intelligent Transportation Systems.

[23]  Jiao Li,et al.  Predictive Multi-objective Operation Strategy Considering Battery Ageing for Hybrid Electric Vehicles , 2018 .

[24]  Jingyuan Zhan,et al.  An On-Line Energy Management Strategy Based on Trip Condition Prediction for Commuter Plug-In Hybrid Electric Vehicles , 2018, IEEE Transactions on Vehicular Technology.

[25]  Teng Liu,et al.  A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle , 2018, IEEE Transactions on Industrial Informatics.

[26]  Jeffrey B. Burl,et al.  Catch energy saving opportunity (CESO), an instantaneous optimal energy management strategy for series hybrid electric vehicles , 2017 .

[27]  Changle Xiang,et al.  Economic MPC-based transient control for a dual-mode power-split HEV , 2017 .

[28]  Guodong Yin,et al.  Mode shift map design and integrated energy management control of a multi-mode hybrid electric vehicle , 2017 .

[29]  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 .

[30]  Chao Yang,et al.  A novel combinatorial optimization algorithm for energy management strategy of plug-in hybrid electric vehicle , 2017, J. Frankl. Inst..

[31]  Zhongke Shi,et al.  Enhanced stability of car-following model upon incorporation of short-term driving memory , 2017, Commun. Nonlinear Sci. Numer. Simul..

[32]  Hong Wang,et al.  Cyber-Physical Control for Energy-Saving Vehicle Following With Connectivity , 2017, IEEE Transactions on Industrial Electronics.

[33]  Konghui Guo,et al.  Distributed formation control of nonholonomic autonomous vehicle via RBF neural network , 2017 .

[34]  Liang Li,et al.  Fuel consumption optimization for smart hybrid electric vehicle during a car-following process , 2017 .

[35]  Feng Ding,et al.  MPC-based energy management with adaptive Markov-chain prediction for a dual-mode hybrid electric vehicle , 2017 .

[36]  Wei-Zhen Lu,et al.  Nonlinear analysis of a new car-following model accounting for the optimal velocity changes with memory , 2016, Commun. Nonlinear Sci. Numer. Simul..

[37]  Du Jun,et al.  A compound compensation method for car-following model , 2016, Commun. Nonlinear Sci. Numer. Simul..

[38]  Shaowei Yu,et al.  An improved car-following model considering relative velocity fluctuation , 2016, Commun. Nonlinear Sci. Numer. Simul..

[39]  Xiaosong Hu,et al.  Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach , 2016 .

[40]  Xiaosong Hu,et al.  Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes , 2013 .

[41]  Dong Ngoduy,et al.  Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach , 2013, Commun. Nonlinear Sci. Numer. Simul..

[42]  Dong Ngoduy,et al.  Analytical studies on the instabilities of heterogeneous intelligent traffic flow , 2013, Commun. Nonlinear Sci. Numer. Simul..

[43]  Shaowei Yu,et al.  Full velocity difference and acceleration model for a car-following theory , 2013, Commun. Nonlinear Sci. Numer. Simul..

[44]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[45]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[46]  Ken-ichi Funahashi,et al.  On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[47]  Zlatina Dimitrova,et al.  Predictive and holistic energy distribution for hybrid electric vehicles , 2017 .

[48]  Lei Yu,et al.  Optimization of Wiedemann and Fritzsche car-following models for emission estimation , 2015 .

[49]  Shaojun Zhang,et al.  Real-world fuel consumption and CO2 emissions of urban public buses in Beijing , 2014 .