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Longitudinal Dynamic Modeling and Driving Cycle Tracking Control of an Electric-Driven Vehicle by Means of MATLAB/Simulink/Simscape

Szántó, András ; Hajdu, Sándor ; Deák, Krisztián

Periodica polytechnica. Transportation engineering, 2022, Vol.50 (2), p.146-152 [Periódico revisado por pares]

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Título:
Longitudinal Dynamic Modeling and Driving Cycle Tracking Control of an Electric-Driven Vehicle by Means of MATLAB/Simulink/Simscape
Autor: Szántó, András ; Hajdu, Sándor ; Deák, Krisztián
Assuntos: Algorithms ; Antilock braking systems ; Control algorithms ; Control theory ; Dynamic models ; Matlab ; Modelling ; Proportional integral derivative ; Tracking control ; Traction control systems ; Virtual prototyping
É parte de: Periodica polytechnica. Transportation engineering, 2022, Vol.50 (2), p.146-152
Descrição: MATLAB, Simulink, and Simscape are market-leading products in Model-Based Design (MBD). Applying acausal and causal modeling methods to model the physical plant and control algorithms of mechatronic systems results in high-fidelity virtual prototype models that can be used for Model-in-Loop (MiL) development. In this paper, an electric-driven vehicle is modeled, which can execute various driving cycle inputs. PID controllers are used in order to get the appropriate plant inputs. Idealized anti-lock braking system (ABS) and traction control system (TCS) algorithms provide robustness when the driving cycle input is near-infeasible. The control algorithm is validated in the cases of feasible and infeasible driving cycle inputs.
Editor: Budapest: Periodica Polytechnica, Budapest University of Technology and Economics
Idioma: Inglês;Alemão;Russo

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