Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
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Typ
Examensarbete för masterexamen
Program
Publicerad
2019
Författare
Deng, Shengwei
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
It is undisputed that vehicle hybridization has become one of the most prospective
solution to the global energy and environmental problems caused by the transport
sector. After having experienced a rapid development, Hybrid Electric Vehicles
(HEV) are widely recognized by more and more customers and gradually dominating
the automobile market by their remarkable performance, fuel economy and emission
reduction. To survive the fierce market competition and to meet the increasingly
strict emission regulation, many car manufacturers are looking to decrease development
time and cost. Part of the actions in order to shorten development time, the
demand for virtual optimization and evaluation, as well as early drivability and high
level customer experience is needed. This thesis is aimed at exploring the possibility
of having access to the drivability evaluation and optimization virtually.
The first part involves identifying all the necessary signals and generating the missing
signals. The second part involves establishing the signal connection between
GT-Suite and AVL-Drive. The third part involves evaluating the drivability using
the AVL-Drive and carrying out the drivability optimization on targeted operation
modes.
In total, 12 vehicle signals are requested for a drivability assessment in AVL-Drive
and three of them (Brake State, Brake Pedal Position and Accelerator Pedal Position)
have been generated successfully. With the help of Matlab, the signal connection
between GT-Suite and AVL-Drive has been created and the drivability reference
objects of a competitor vehicle and LYNK&CO 01 are provided for comparison. The
drivability ratings of engine start and gear shift selected as the targeted operation
modes have been improved significantly.
Beskrivning
Ämne/nyckelord
Hybrid electric vehicle , Powertrain efficiency , Objective drivability assessment , Vehicle simulation , Optimization