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

被引：2

作者：

Szanto A. ^{[1
]}

Hajdu S. ^{[1
]}

Deak K. ^{[1
]}

机构：

[1] Department of Mechanical Engineering, Faculty of Engineering, University of Debrecen, Otemetoutca 2-4., Debrecen

来源：

Periodica Polytechnica Transportation Engineering | 2022年 / 50卷 / 02期

关键词：

acausal modeling; electric vehicle; longitudinal driving cycle; model-based design; model-in-loop development;

D O I：

10.3311/PPtr.16197

中图分类号：

学科分类号：

摘要：

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. © 2022 Budapest University of Technology and Economics. All rights reserved.

引用

页码：146 / 152

页数：6

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