Hierarchical energy management control strategies for connected hybrid electric vehicles considering efficiencies feedback

Abstract This paper presents a closed-loop hierarchical energy management control strategy for a group of connected hybrid electric vehicles (HEVs) considering the feedback of propulsion and recuperation efficiencies. The higher level controller utilizes model predictive control (MPC) incorporating signal phase and timing (SPAT) information for the prediction of the optimal velocity profile over a finite time horizon, with periodically updated efficiencies from the lower level controller. The adaptive equivalent consumption minimization strategy (A-ECMS)-based lower level controller then makes use of the optimal velocity profile for the energy management control of the HEVs. Meanwhile, the lower level controller calculates and feeds back the average propulsion and recuperation efficiencies of the current time window to the higher level controller, which updates the efficiencies with the average values and corrects the fuel consumption model for the calculation of the velocity profile of the next time window. Simulation results validate the control effectiveness of the proposed control strategy.

[1]  Mashrur Chowdhury,et al.  An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles , 2012 .

[2]  Ardalan Vahidi,et al.  Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time , 2011, IEEE Transactions on Control Systems Technology.

[3]  Sabri Cetinkunt,et al.  Real-time energy management control for hybrid electric powertrains , 2013 .

[4]  Jun-ichi Imura,et al.  A Vehicle-Intersection Coordination Scheme for Smooth Flows of Traffic Without Using Traffic Lights , 2015, IEEE Transactions on Intelligent Transportation Systems.

[5]  Hosam K. Fathy,et al.  A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Control Systems Technology.

[6]  Vu Trieu Minh,et al.  Modeling and model predictive control for hybrid electric vehicles , 2012 .

[7]  Junichi Murata,et al.  Model Predictive Control of Vehicles on Urban Roads for Improved Fuel Economy , 2013, IEEE Transactions on Control Systems Technology.

[8]  Paul T. Boggs,et al.  Sequential Quadratic Programming , 1995, Acta Numerica.

[9]  Karim Djemame,et al.  Modelling uncertainty in the sustainability of Intelligent Transport Systems for highways using probabilistic data fusion , 2013, Environ. Model. Softw..

[10]  Simona Onori,et al.  Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles , 2010 .

[11]  Gábor Orosz,et al.  Dynamics of connected vehicle systems with delayed acceleration feedback , 2014 .

[12]  Erik Hellström,et al.  Horizon Length and Fuel Equivalents for Fuel-optimal Look-ahead Control , 2010 .

[13]  Giorgio Rizzoni,et al.  A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[14]  Jianfeng Zheng,et al.  Hybrid powertrain optimization with trajectory prediction based on inter-vehicle-communication and vehicle-infrastructure-integration , 2014 .

[15]  Chao Yang,et al.  Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route , 2015, IEEE Transactions on Vehicular Technology.

[16]  Pierluigi Pisu,et al.  Hierarchical control strategies for energy management of connected hybrid electric vehicles in urban roads , 2016 .

[17]  Pierluigi Pisu,et al.  Fuel Efficient Control Strategies for Connected Hybrid Electric Vehicles in Urban Roads , 2015 .

[18]  Pierluigi Pisu,et al.  A fuel economic model predictive control strategy for a group of connected vehicles in urban roads , 2015, 2015 American Control Conference (ACC).

[19]  Ardalan Vahidi,et al.  Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic , 2016 .

[20]  Stephen P. Boyd,et al.  Fast Model Predictive Control Using Online Optimization , 2010, IEEE Transactions on Control Systems Technology.

[21]  N. Al-Holou,et al.  ITS based methodology to reduce energy consumption and emissions , 2012, 2012 IEEE Transportation Electrification Conference and Expo (ITEC).

[22]  Kanok Boriboonsomsin,et al.  Arterial velocity planning based on traffic signal information under light traffic conditions , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[23]  Alberto Bemporad,et al.  Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management , 2014, IEEE Transactions on Control Systems Technology.

[24]  Pierluigi Pisu,et al.  Fast Model Predictive Control-Based Fuel Efficient Control Strategy for a Group of Connected Vehicles in Urban Road Conditions , 2017, IEEE Transactions on Control Systems Technology.

[25]  Volkan Sezer,et al.  A Novel ECMS and Combined Cost Map Approach for High-Efficiency Series Hybrid Electric Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[26]  Michael Duoba,et al.  Validating Volt PHEV Model with Dynamometer Test Data Using Autonomie , 2013 .

[27]  Mostofa Kamal Nasir,et al.  Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems , 2014, TheScientificWorldJournal.

[28]  Sagar Naik,et al.  Optimization of Fuel Cost and Emissions Using V2V Communications , 2013, IEEE Transactions on Intelligent Transportation Systems.

[29]  Ardalan Vahidi,et al.  Reducing idling at red lights based on probabilistic prediction of traffic signal timings , 2012, 2012 American Control Conference (ACC).

[30]  Mashrur Chowdhury,et al.  Forward power-train energy management modeling for assessing benefits of integrating predictive traffic data into plug-in-hybrid electric vehicles , 2012 .

[31]  Chun Wang,et al.  An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle , 2017 .

[32]  Hai Yu,et al.  Trip-Oriented Energy Management Control Strategy for Plug-In Hybrid Electric Vehicles , 2014, IEEE Transactions on Control Systems Technology.

[33]  Chunming Qiao,et al.  Vehicle speed control algorithms for eco-driving , 2013, 2013 International Conference on Connected Vehicles and Expo (ICCVE).

[34]  Stefano Di Cairano,et al.  MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle , 2012, IEEE Transactions on Control Systems Technology.

[35]  Yan Chen,et al.  Energy Management and Driving Strategy for In-Wheel Motor Electric Ground Vehicles With Terrain Profile Preview , 2014, IEEE Transactions on Industrial Informatics.

[36]  Dimitar Filev,et al.  Vehicle Speed Prediction in a Convoy Using V2V Communication , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[37]  Ardalan Vahidi,et al.  An Optimal Velocity-Planning Scheme for Vehicle Energy Efficiency Through Probabilistic Prediction of Traffic-Signal Timing , 2014, IEEE Transactions on Intelligent Transportation Systems.

[38]  Carlos Canudas de Wit,et al.  Eco-driving in urban traffic networks using traffic signal information , 2013, 52nd IEEE Conference on Decision and Control.

[39]  Pierluigi Pisu,et al.  Global optimal energy management control strategies for connected four-wheel-drive hybrid electric vehicles , 2017 .

[40]  Hongwen He,et al.  Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles , 2015 .