Design and Experimental Comparison of Energy Management Strategies for Hybrid Electric Buses Based on Test-Bench Simulation

Energy management in hybrid and electric vehicles is a key factor to improve the operational performance and meet the efficiency objectives defined in the transport sector. Thus, optimized energy management strategies (EMSs), before being integrated in a real system, need to be experimentally validated in test-bench platforms in order to identify the possible deviations from the expected simulation-based performance while minimizing the implementation time and field-test on the real application. An economical and flexible mean of validating these strategies is the hardware-in-the-loop simulation. Therefore, this work aims to present the design approach and comparison, by means of experimental tests, of two optimized (simulation-based) EMSs proposed for a hybrid electric bus (HEB) focusing on the real-time operational performance. Both EMSs handle the proper power split behavior of the vehicle demand among a genset (internal combustion engine + electric generator) and a hybrid energy storage system (combining Li-ion batteries with supercapacitors). The experimental platform consists of a scaled test bench emulating the electrical dc grid of a HEB. This test bench, combined with software models to control the power electronic devices, allows us to emulate the real behavior of the genset, battery, supercapacitor, traction, and auxiliary loads.

[1]  Kumeresan A. Danapalasingam,et al.  A review on hybrid electric vehicles architecture and energy management strategies , 2016 .

[2]  Clement Mayet,et al.  Hardware-In-the-Loop Simulation of Traction Power Supply for Power Flows Analysis of Multitrain Subway Lines , 2017, IEEE Transactions on Vehicular Technology.

[3]  Ching Chuen Chan,et al.  Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling , 2010, IEEE Transactions on Vehicular Technology.

[4]  Davide Lauria,et al.  Experimental evaluation of model-based control strategies of sodium-nickel chloride battery plus supercapacitor hybrid storage systems for urban electric vehicles , 2018, Applied Energy.

[5]  Victor Isaac Herrera,et al.  Optimal energy management of a hybrid electric bus with a battery-supercapacitor storage system using genetic algorithm , 2015, 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS).

[6]  Lu Yi,et al.  Hardware-in-Loop Simulation for the Energy Management System Development of a Plug-in Hybrid Electric Bus , 2016 .

[7]  Ottorino Veneri,et al.  Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban commercial vehicles , 2017, Applied Energy.

[8]  J. Van Mierlo,et al.  Test platform for hybrid electric power systems: Development of a HIL test platform , 2007, 2007 European Conference on Power Electronics and Applications.

[9]  M. Bacic,et al.  On hardware-in-the-loop simulation , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[10]  Lei Wang,et al.  Hardware-in-the-loop simulation for the design and verification of the control system of a series-parallel hybrid electric city-bus , 2012, Simul. Model. Pract. Theory.

[11]  Sundaravalli Narayanaswami.  Urban transportation: innovations in infrastructure planning and development , 2017 .

[12]  Zhen Li,et al.  HARDWARE-IN-THE-LOOP SIMULATION , 2004 .

[13]  Hongwen He,et al.  Energy management strategy research on a hybrid power system by hardware-in-loop experiments , 2013 .

[14]  Walter Lhomme,et al.  Control validation of Peugeot 3∞8 HYbrid4 Vehicle Using a Reduced-scale Power HIL Simulation , 2013 .

[15]  Bo Gao,et al.  Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective , 2017, IEEE Transactions on Vehicular Technology.

[16]  Haritza Camblong,et al.  Experimental comparison of energy management strategies for a hybrid electric bus in a test-bench , 2018, 2018 Thirteenth International Conference on Ecological Vehicles and Renewable Energies (EVER).

[17]  Haritza Camblong,et al.  Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway , 2016 .

[18]  A. Bouscayrol,et al.  Different types of Hardware-In-the-Loop simulation for electric drives , 2008, 2008 IEEE International Symposium on Industrial Electronics.

[19]  Margaret L. Loper,et al.  Modeling and Simulation in the Systems Engineering Life Cycle , 2015, Simulation Foundations, Methods and Applications.

[20]  Pierluigi Pisu,et al.  Model-based design validation for advanced energy management strategies for electrified hybrid power trains using innovative vehicle hardware in the loop (VHIL) approach , 2017 .

[21]  Victor Isaac Herrera,et al.  Multi-Objective Optimization of Energy Management and Sizing for a Hybrid Bus with Dual Energy Storage System , 2016, 2016 IEEE Vehicle Power and Propulsion Conference (VPPC).

[22]  Azah Mohamed,et al.  Hybrid electric vehicles and their challenges: A review , 2014 .