Analysis of rule-based parameterized control strategy for a HEV Hybrid Electric Vehicle

Energy storage is a key issue for hybrid traction vehicles (HEVs). Indeed, it takes more power and energy density, a correct size, a long life of the battery. The HEV seems to be an appropriate device to address these constraints if we find the best strategy for controlling and split power, between the thermal and electrical sources. The purpose of this article is to propose different energy management strategies(EMS) based on rules and using batteries. Two control strategies are developed and compared for different criteria as energy consumption, design and expected battery life. Validation tests are performed and compared to the energy consumption of the thermal vehicle.

[1]  Lilia El Amraoui,et al.  Canonical Particle Swarm Optimization Algorithm Based a Hybrid Vehicle , 2019 .

[2]  Rochdi Trigui,et al.  Trajectory optimization for eco-driving taking into account traffic constraints , 2013 .

[3]  Yangsheng Xu,et al.  A Hybrid Controller Design For Parallel Hybrid Electric Vehicle , 2007, 2007 IEEE International Conference on Integration Technology.

[4]  Huei Peng,et al.  Strategies to minimize fuel consumption of passenger cars during car-following scenarios , 2011, Proceedings of the 2011 American Control Conference.

[5]  Seong-chul Lee,et al.  Fuel Economy Optimization for Parallel Hybrid Vehicles with CVT , 1999 .

[6]  Rochdi Trigui,et al.  Effect of trajectory optimization parameters on energy consumption and CO2 emissions for a gasoline powered vehicle , 2017 .

[7]  Ali Emadi,et al.  State of the art power management algorithms for hybrid electric vehicles , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[8]  Mutasim A. Salman,et al.  Fuzzy logic control for parallel hybrid vehicles , 2002, IEEE Trans. Control. Syst. Technol..

[9]  Lilia El Amraoui Ouni,et al.  Design and modeling of PID controller with 2DOF: Application to thermal phase of an hybrid vehicle , 2017, 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD).

[10]  W. P. M. H. Heemels,et al.  Energy management strategies for vehicular electric power systems , 2005, IEEE Transactions on Vehicular Technology.

[11]  Rochdi Trigui,et al.  Optimal management of electric vehicles with a hybrid storage system , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[12]  Lino Guzzella,et al.  Optimal control of parallel hybrid electric vehicles , 2004, IEEE Transactions on Control Systems Technology.

[13]  Antonio Sciarretta,et al.  Optimal Ecodriving Control: Energy-Efficient Driving of Road Vehicles as an Optimal Control Problem , 2015, IEEE Control Systems.

[14]  F. R. Salmasi,et al.  Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends , 2007, IEEE Transactions on Vehicular Technology.

[15]  Yoshihiko Takahashi,et al.  Bio fuel injection and generated voltage change of series hybrid electric vehicle with plant oil electric generator , 2016, 2016 16th International Conference on Control, Automation and Systems (ICCAS).

[16]  Lino Guzzella,et al.  Vehicle Propulsion Systems: Introduction to Modeling and Optimization , 2005 .

[17]  Peter E. Caines,et al.  On the Hybrid Optimal Control Problem: Theory and Algorithms , 2007, IEEE Transactions on Automatic Control.

[18]  Felix Schmid,et al.  A review of methods to measure and calculate train resistances , 2000 .

[19]  Wissam Dib,et al.  Optimal energy management for an electric vehicle in eco-driving applications , 2014 .

[20]  Lilia El Amraoui,et al.  2DOF PID for dynamic control of drive system hybrid vehicle electrical , 2017, 2017 International Conference on Green Energy Conversion Systems (GECS).

[21]  Ahmet Teke,et al.  A comprehensive overview of hybrid electric vehicle: Powertrain configurations, powertrain control techniques and electronic control units , 2011 .

[22]  Alois Amstutz,et al.  CAE tools for quasi-static modeling and optimization of hybrid powertrains , 1999 .