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Journal articles
Constrained Optimization of Energy Management for a Mild-Hybrid Vehicle
Abstract : Hybrid-electric vehicles appear to be one
of the most promising technologies for reducing fuel consumption
and pollutant emissions. The presented work focuses on a power
train architecture for mild hybrid vehicles. The complete
mild-hybrid vehicle is modelled in AMESim environment and the fuel
consumption for given driving cycles is estimated. The control
strategies for the energy management between the two power sources
are optimized with respect to fuel consumption with a classical
dynamic programming (DP) method. We propose an other method based
on Pontryagin Minimum Principle which furnishes results very close
to the DP results for a significantly reduced calculation time.
These optimization results furnish the optimal control laws from
which could be derived the control laws to be implemented on the
vehicle. To illustrate the potential of optimization for component
design, mild hybrid vehicles with varying battery and electric
motor sizes, with different types of engine (gasoline / natural
gas), are evaluated in terms of consumption gain with the
presented methodology.
Cited literature [1 references]
https://hal-ifp.archives-ouvertes.fr/hal-02005722
Contributor : Edp Sciences <>
Submitted on : Monday, February 4, 2019 - 11:28:06 AM
Last modification on : Thursday, April 9, 2020 - 5:08:21 PM
Document(s) archivé(s) le : Sunday, May 5, 2019 - 2:18:09 PM
Contributor : Edp Sciences <>
Submitted on : Monday, February 4, 2019 - 11:28:06 AM
Last modification on : Thursday, April 9, 2020 - 5:08:21 PM
Document(s) archivé(s) le : Sunday, May 5, 2019 - 2:18:09 PM
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ogst06097.pdf
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