Searched for: subject%3A%22State%255C%2Bof%255C%2Bcharge%22
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Shekhar, A. (author), Prasanth, V. (author), Bauer, P. (author), Bolech, M. (author)
An analytical estimation of driving range of electric vehicles (EVs) with contactIess on-road charging system is presented in this paper. Inductive power transfer (IPT) systems with different configurations (static, dynamic), power levels and road coverage have different (and non-linear) impact on the driving range. A generic methodology has...
conference paper 2015
document
Roşca, B. (author), Wilkins, S. (author), Jacob, J. (author), Hoedemaekers, E.R.G. (author), van den Hoek, S.P. (author)
This paper presents a method of predicting the maximum power capability of a Li-Ion battery, to be used for electric motor control within automotive powertrains. As maximum power is highly dependent on battery state, the method consists of a pack level state observer coupled with a predictive battery model. Results indicate that the battery...
conference paper 2014
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Rosca, B. (author), Wilkins, S. (author)
Driveability of BEVs is subject to the driver behaviour and in more extreme cases the powertrain is unable to adapt. The behaviour of drivers is categorized and presented here with comparison against more standard drive cycles. The extremes of the driver behaviour and this distribution is based on real-world measurements. A driver grading...
conference paper 2012
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van Mullem, D. (author), van Keulen, T. (author), Kessels, J.T.B.A. (author), de Jager, B. (author), Steinbuch, M. (author), TNO Industrie en Techniek (author)
Energy Management Strategies for hybrid powertrains control the power split, between the engine and electric motor, of a hybrid vehicle, with fuel consumption or emission minimization as objective. Optimal control theory can be applied to rewrite the optimization problem to an optimization independent of time. Estimation of the Lagrange...
conference paper 2010
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van Keulen, T. (author), de Jager, B. (author), Kessels, J.T.B.A. (author), Steinbuch, M. (author)
Hybrid vehicles require a supervisory algorithm, often referred to as energy management strategy, which governs the drivetrain components. In general the energy management strategy objective is to minimize the fuel consumption subject to constraints on the components, vehicle performance and driver comfort. Typically, we have to deal with two...
conference paper 2010
Searched for: subject%3A%22State%255C%2Bof%255C%2Bcharge%22
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