Design and Experimental Comparison of Energy Management Strategies for Hybrid Electric Buses Based on Test-Bench Simulation
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2019-05-01
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Abstract
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.
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Energy management strategy (EMS) , experimental validation , hardware-in-the-loop (HIL) simulation , hybrid energy storage system (HESS) , hybrid vehicle , test bench , Control and Systems Engineering , Industrial and Manufacturing Engineering , Electrical and Electronic Engineering , SDG 7 - Affordable and Clean Energy
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Herrera , V I , Milo , A , Gaztanaga , H , Gonzalez-Garrido , A , Camblong , H & Sierra , A 2019 , ' Design and Experimental Comparison of Energy Management Strategies for Hybrid Electric Buses Based on Test-Bench Simulation ' , IEEE Transactions on Industry Applications , vol. 55 , no. 3 , 8576627 , pp. 3066-3075 . https://doi.org/10.1109/TIA.2018.2886774