Experimental comparison of energy management strategies for a hybrid electric bus in a test-bench

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2018-05-21
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Institute of Electrical and Electronics Engineers Inc.
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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 (EMS), before being integrated in a real system, need to be validated in a scaled test-bench platform in order to identify the possible deviations from the expected simulation-based profiles, thus, saving time during the implementation in the real application. An economical and flexible way of validating these strategies is the Hardware-in-The-loop (HIL) simulation. In this framework, this work aims to compare the experimental results of two optimized (simulation-based) EMSs applied on a hybrid electric urban bus (HEB) in terms of real-Time operational performance. Both EMSs handle the proper power split behavior of the vehicle demand between a genset (internal combustion engine connected to an electric generator) and a hybrid energy storage system (combining Li-ion batteries with supercapacitors). The hardware in the test-bench consist of a scaled electrical DC grid of an HEB. This hardware platform is combined with software models allowing to emulate the real behavior of the genset, battery, supercapacitor, traction and auxiliary loads.
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Publisher Copyright: © 2018 IEEE.
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Sierra , A , Herrera , V , Gonzaez-Garrido , A , Milo , A , Gaztanaga , H & Camblong , H 2018 , Experimental comparison of energy management strategies for a hybrid electric bus in a test-bench . in 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 . 2018 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 , Institute of Electrical and Electronics Engineers Inc. , pp. 1-9 , 13th International Conference on Ecological Vehicles and Renewable Energies, EVER 2018 , Monte Carlo , Monaco , 10/04/18 . https://doi.org/10.1109/EVER.2018.8362389
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