Sentience - using electronic horizon data to improve hybrid vehicle fuel economy

Walker, R.

doi:10.1049/ic.2008.0782

IET Road Transport Information and Control Conference and the ITS United Kingdom Members' Conference (RTIC 2008) 2008

DOI: 10.1049/ic.2008.0782

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Sentience - using electronic horizon data to improve hybrid vehicle fuel economy

R. Walker¹

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2013

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Model-based eco-driving and integrated powertrain control for (hybrid) electric vehicles

Ivens¹,

Spronkmans²,

Roşca³

et al. 2013

2013 World Electric Vehicle Symposium and Exhibition (EVS27)

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. Model-based eco-driving and integrated powertrain control for (hybrid) electric vehicles. World Electric Vehicle Journal, 6(2), 336-344. General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. AbstractThe Netherlands Organisation for Applied Scientific Research (TNO) is engaged in research, development and testing of a range of technologies relating to hybrid and electric vehicle energy management and performance. The impact of driver behaviour on vehicle energy consumption is a significant factor, and one which can often be reduced with eco-driving, typically 5-10% or higher in some cases. Eco-driving can be extended not only to take into account information sources, improved user acceptance, and integration with powertrain control. In this paper, TNO illustrates the possible applications of model-based control for (hybrid) electric vehicles and shows preliminary results of the developed system.

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Model-based eco-driving and integrated powertrain control for (hybrid) electric vehicles

Ivens¹,

Spronkmans²,

Roşca³

et al. 2013

2013 World Electric Vehicle Symposium and Exhibition (EVS27)

View full text Add to dashboard Cite

show abstract

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Sentience - using electronic horizon data to improve hybrid vehicle fuel economy

Cited by 1 publication

References 0 publications

Model-based eco-driving and integrated powertrain control for (hybrid) electric vehicles

Model-based eco-driving and integrated powertrain control for (hybrid) electric vehicles

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