DEVELOPMENT OF ESTIMATION ALGORITHMS FOR VEHICLE’S MASS AND ROAD GRADE

In controlling the longitudinal motion of electrified vehicles such as hybrid vehicles and PHEV (Plug-in Hybrid Electric Vehicles), the variation of the driving resistance loads (or driving loads) such as road grade and actual vehicle mass,is the most influential factor which limits the control perf...

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Veröffentlicht in:International journal of automotive technology 2013, 14(6), 74, pp.889-895
Hauptverfasser: I. KIM, H. KIM, J. BANG, 허건수
Format: Artikel
Sprache:eng
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Zusammenfassung:In controlling the longitudinal motion of electrified vehicles such as hybrid vehicles and PHEV (Plug-in Hybrid Electric Vehicles), the variation of the driving resistance loads (or driving loads) such as road grade and actual vehicle mass,is the most influential factor which limits the control performance. Measuring the driving load is not impossible, but it is costly since additional sensors have to be mounted on the vehicle. In this study, methods for estimating vehicle mass and road grade are designed to compensate for the driving loads. The proposed methods are verified using simulation tools and then evaluated experimentally. KCI Citation Count: 15
ISSN:1229-9138
1976-3832
DOI:10.1007/s12239−013−0097−9