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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Simulation and Comparison of HEV Battery Control for Best Fuel Economy and Longer Battery Life

Low Emission Vehicle Research Laboratory, Beijing institute of technology, Beijing 100081, China
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World Electr. Veh. J. 2010, 4(2), 421-426; https://doi.org/10.3390/wevj4020421
Published: 25 June 2010
PDF [940 KB, uploaded 17 May 2018]

Abstract

Almost all HEV battery control strategies keep the battery state of charge (SOC) within a lower limit (SOCmin) (these strategies also called charge sustaining strategies). The goal from sustaining the SOC in this way is to prolong the battery life. But the question is; what is the optimal value of (SOCmin) for a battery, to achieve best fuel economy and longer battery life at the same time?; knowing that when (SOCmin) is too low (around SOCmin=0.2) we get good fuel economy per one speed cycle but the battery dies soon and cannot perform a lot of cycles, but when (SOCmin) is high (around SOCmin=0.8) the battery can survive for a larger number of speed cycle but with poor fuel economy per cycle. The objective of this paper is to propose a method to investigate and solve this problem by simulation using Simulink environment; we used the manufacture’s data of a Ni-MH battery, empiric equations, and appropriate control strategy to find the optimal value of (SOCmin). The study shows that, for best fuel economy per one cycle; the (SOCmin) value must be as small as possible, for longer battery life; the (SOCmin) value is about (SOCmin=0.85) and for the optimal case (which is the total improvement brought by the battery from first time use until its end of life); the optimal (SOCmin) value is about (SOCmin=0.7).
Keywords: Battery ageing; HEV Battery Control; Ni-MH Battery; HEV Simulation Battery ageing; HEV Battery Control; Ni-MH Battery; HEV Simulation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Adel, B.; Youtong, Z.; Shuai, S. Simulation and Comparison of HEV Battery Control for Best Fuel Economy and Longer Battery Life. World Electr. Veh. J. 2010, 4, 421-426.

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