Authors:
Rustem Abdrakhmanov
and
Lounis Adouane
Affiliation:
Institut Pascal/IMobS3 and UCA/SIGMA, France
Keyword(s):
Hybrid Electric Vehicle, Energy Management Strategy, Dynamic Programming, Online Sub-optimal Optimization, SOC Prediction, Multi-dimensional Database Knowledge.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Transportation Technologies and Systems
;
Robotics and Automation
;
Software Agents for Intelligent Control Systems
Abstract:
This paper presents a sub-optimal strategy, based on Dynamic Programming (DP) approach, for online energy
(electric battery and fuel) optimization of a Hybrid Electric Vehicle (HEV). An optimal offline optimization is
first proposed in this work, permitting to have simultaneous speed profile optimization and optimal power split
strategy of a series-parallel hybrid bus. The aim of this optimization is mainly to reduce the fuel and electrical
energy consumption of the studied HEV while maintaining smooth bus navigation to ensure the passengers’
comfort. It is assumed in this first proposal that current road profile (slope, geometry, etc.) and the overall
bus trip (time at the stations) are known in advance. Afterward, the basis of the offline optimal strategy has
been adapted in order to deal online with the current road profile and driver velocity demand. The proposed
sub-optimal online strategy uses mainly an appropriate speed profile and power-split database, obtained offline
with D
P, in order to cope with the current bus situations, and this is carried out by using a multi-dimensional
interpolation method. The present work is conducted on a dedicated high-fidelity model of the hybrid bus that
was developed on MATLAB/TruckMaker software.
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