An adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicles based on traffic information

Energy management strategies play an important role in performance optimization of plug-in hybrid electric vehicles (PHEVs), and can be further improved by incorporating external traffic information. Motivated by this, an adaptive equivalent consumption minimization strategy considering traffic information is proposed in this study to facilitate the effective energy management of PHEVs. First, the initial equivalent factors in terms of different initial state of charge (SOC) and driving distance are searched by genetic algorithm. Then, the simplified dynamic programming is leveraged to determine the optimal SOC trajectory according to the traffic information with fast calculation speed. The fuzzy controller is employed to regulate the equivalent factor dynamically, thus enabling effective tracking of the reference SOC trajectory. A hardware-in-the-loop simulation platform based on the virtual scene is developed to validate the performance of controller. Simulation and experimental results highlight that the proposed strategy can lead to less fuel consumption, compared to traditional equivalent consumption minimization strategy, thereby proving its feasibility.

[1]  Giorgio Rizzoni,et al.  Effect of Traffic, Road and Weather Information on PHEV Energy Management , 2011 .

[2]  Hongwen He,et al.  Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming , 2017 .

[3]  Ali Boyali,et al.  Real-time controller design for a parallel hybrid electric vehicle using neuro-dynamic programming method , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[4]  Giorgio Rizzoni,et al.  General supervisory control policy for the energy optimization of charge-sustaining hybrid electric vehicles , 2001 .

[5]  Lin Yang,et al.  Dynamic programming for New Energy Vehicles based on their work modes part I: Electric Vehicles and Hybrid Electric Vehicles , 2018, Journal of Power Sources.

[6]  Liangfei Xu,et al.  Multi-objective energy management optimization and parameter sizing for proton exchange membrane hybrid fuel cell vehicles , 2016 .

[7]  Datong Qin,et al.  Energy Management for Plug-In Hybrid Electric Vehicle Based on Adaptive Simplified-ECMS , 2018, Sustainability.

[8]  Yaser P. Fallah,et al.  Predictive AECMS by Utilization of Intelligent Transportation Systems for Hybrid Electric Vehicle Powertrain Control , 2017, IEEE Transactions on Intelligent Vehicles.

[9]  Xiaosong Hu,et al.  An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles , 2018, Energy.

[10]  Katherine Rose Driggs-Campbell,et al.  Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

[11]  Zheng Chen,et al.  Energy Management for a Power-Split Plug-In Hybrid Electric Vehicle Based on Reinforcement Learning , 2018, Applied Sciences.

[12]  Hongwen He,et al.  Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles , 2018, IEEE Access.

[13]  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 .

[14]  Chao Yang,et al.  Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle , 2017 .

[15]  C. Mansour,et al.  Adaptive Energy Management Strategy for a Hybrid Vehicle Using Energetic Macroscopic Representation , 2016, 2016 IEEE Vehicle Power and Propulsion Conference (VPPC).

[16]  Lv Ming,et al.  Energy Management Strategy of a Plug-in Parallel Hybrid Electric Vehicle Using Fuzzy Control , 2017 .

[17]  Yanjun Huang,et al.  Model predictive control power management strategies for HEVs: A review , 2017 .

[18]  Datong Qin,et al.  Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles , 2019, Journal of Power Sources.

[19]  Zhenzhen Lei,et al.  Trip-Oriented Model Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles , 2019, IEEE Access.

[20]  Simona Onori,et al.  Analysis of impact factors for plug-in hybrid electric vehicles energy management , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[21]  Simona Onori,et al.  Adaptive energy management strategy calibration in PHEVs based on a sensitivity study , 2013 .

[22]  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.

[23]  Hamid Khayyam,et al.  Adaptive intelligent energy management system of plug-in hybrid electric vehicle , 2014 .

[24]  Datong Qin,et al.  An Adaptive Equivalent Consumption Minimization Strategy for Plug-In Hybrid Electric Vehicles Based on Energy Balance Principle , 2019, IEEE Access.

[25]  Paul A. Jennings,et al.  Blended Rule-Based Energy Management for PHEV: System Structure and Strategy , 2016, IEEE Transactions on Vehicular Technology.

[26]  Yang Zhou,et al.  A survey on driving prediction techniques for predictive energy management of plug-in hybrid electric vehicles , 2019, Journal of Power Sources.

[27]  Morteza Montazeri,et al.  Design of genetic-fuzzy control strategy for parallel hybrid electric vehicles , 2008 .

[28]  Slawomir Koziel,et al.  Computational Optimization, Methods and Algorithms , 2016, Computational Optimization, Methods and Algorithms.

[29]  Zheng Chen,et al.  Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming , 2014 .

[30]  Wencong Su,et al.  Hierarchical Energy Management for Power-Split Plug-In HEVs Using Distance-Based Optimized Speed and SOC Profiles , 2018, IEEE Transactions on Vehicular Technology.

[31]  Yalian Yang,et al.  Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization , 2016 .

[32]  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.

[33]  Jingyuan Zhan,et al.  Hybrid-Trip-Model-Based Energy Management of a PHEV With Computation-Optimized Dynamic Programming , 2018, IEEE Transactions on Vehicular Technology.

[34]  Teuku Meurah Indra Mahlia,et al.  Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems , 2014 .

[35]  Paolo Iora,et al.  Energy management of a plug-in fuel cell/battery hybrid vehicle with on-board fuel processing , 2016 .

[36]  Lin Yang,et al.  Dynamic programming for new energy vehicles based on their work modes Part II: Fuel cell electric vehicles , 2018, Journal of Power Sources.

[37]  Sebastian East,et al.  Fast Optimal Energy Management With Engine On/Off Decisions for Plug-in Hybrid Electric Vehicles , 2019, IEEE Control Systems Letters.

[38]  Yanan Zhao,et al.  Path-forecasting for HEV optimal energy management (POEM) , 2016, 2016 American Control Conference (ACC).

[39]  Maurice Fadel,et al.  Fuzzy switching of fuzzy rules for energy management in HEV , 2012 .

[40]  Yaobin Chen,et al.  A rule-based energy management strategy for Plug-in Hybrid Electric Vehicle (PHEV) , 2009, 2009 American Control Conference.

[41]  Brahmadevan V. P. Rajan,et al.  Plug in hybrid electric vehicle energy management system for real world driving , 2014 .

[42]  Yaoyu Li,et al.  Trip Based Power Management of Plug-in Hybrid Electric Vehicle with Two-Scale Dynamic Programming , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[43]  Fengchun Sun,et al.  Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles , 2017 .

[44]  Yang Li,et al.  A real-time energy management strategy combining rule-based control and ECMS with optimization equivalent factor for HEVs , 2017, 2017 Chinese Automation Congress (CAC).

[45]  Hongwen He,et al.  A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries , 2018, IEEE Transactions on Industrial Electronics.

[46]  Bing Xia,et al.  Energy management of power-split plug-in hybrid electric vehicles based on simulated annealing and Pontryagin's minimum principle , 2014 .

[47]  Yong Huang,et al.  Data-driven hierarchical control for online energy management of plug-in hybrid electric city bus , 2018 .

[48]  I. V. Kolmanovsky,et al.  Hybrid Electric Vehicle Energy Management Using Game Theory , 2008 .

[49]  Valerie H. Johnson,et al.  Battery performance models in ADVISOR , 2002 .

[50]  Hongwen He,et al.  Model Predictive Control for Energy Management of a Plug-in Hybrid Electric Bus☆ , 2016 .