Optimization of the Process of Acceleration of a Vehicle Taking into Account the Regimes of Operation of Its Engine

2019-01-0776

04/02/2019

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Currently, in order to effectively use the engine's energy resources and implement the required indicators of the traction, speed and fuel-economic properties of a vehicle, designers and manufacturers are trying to realize some certain properties to the transmission design that will ensure the most complete coordination of their joint work. However, even the optimal constructive solution cannot be universal, i.e. what is good for some operating conditions is not effective for other conditions. Therefore, today it is economically expedient to create vehicles intended for a certain, relatively narrow range of operating conditions. A wide range of modern continuously variable transmissions (CVT), as well as automatic control systems make it possible to radically change the approach to the design of vehicle transmissions. It remains only to determine the algorithms for changing the gear ratio of the CVT. The technique of a choice of optimum transfer numbers of CVT of a car in view of modes of movement and work of its engine is offered. The results of calculation of the traction-dynamic and fuel-economic parameters of a car with CVT, the gear ratios of which change during the movement in accordance with the proposed procedure, in comparison with the actual prototype, confirmed the accepted optimization hypothesis and gave all grounds for recommending the application of this technique to practice when choosing the gear ratios of continuously variable transmission, depending on the mode of movement of vehicle and regimes of operation of its engine.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-0776
Pages
5
Citation
Ulanov, A., and Aliukov, S., "Optimization of the Process of Acceleration of a Vehicle Taking into Account the Regimes of Operation of Its Engine," SAE Technical Paper 2019-01-0776, 2019, https://doi.org/10.4271/2019-01-0776.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-0776
Content Type
Technical Paper
Language
English