Optimization of control variables of a series-parallel hybrid electric power train | IEEE Conference Publication | IEEE Xplore

Optimization of control variables of a series-parallel hybrid electric power train


Abstract:

A back propagation through time-like conjugate gradient-based algorithm is used for off-line optimization of a series-parallel hybrid power train control variables over s...Show More

Abstract:

A back propagation through time-like conjugate gradient-based algorithm is used for off-line optimization of a series-parallel hybrid power train control variables over standardized certification driving cycles. The aim is to minimize the fuel consumption subject to battery state-of-charge constraints. The optimization is carried out using a simplified power train model in order to find optimal engine speed and torque time responses. The optimization results are presented for three characteristic certification driving cycles.
Date of Conference: 03-05 October 2012
Date Added to IEEE Xplore: 07 January 2013
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Conference Location: Dubrovnik, Croatia

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