Research on vehicle integrated control algorithm based on MATLAB and CANoe co-simulation

Author

Linlin Yao ; Jian Wu ; Yu Wang ; Chuanfu Liu

Author_Institution

State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

5

Abstract

Based on the existing four-wheel independently driving, braking electric vehicles, considering the relation between the desired body forces and the actual body forces which are generated by actuators and the physical limitations of the actuator of electric vehicles and the limitations of ground adhesion conditions,control allocation algorithm that met performance requirements is proposed in the article, In the MATLAB/Simulink environment, CANoe communication module is added to the model through CANoe-MATLAB interface. Running MATLAB to start the CANoe then tracking the changing trends of each signal of the control model in CANoe. To verify the accuracy and feasibility of the control allocation algorithm by co-simulation on CANoe-MATLAB.

Keywords

actuators; braking; centralised control; electric vehicles; power engineering computing; vehicle dynamics; CANoe communication module; CANoe-MATLAB interface; MATLAB/Simulink environment; body forces; braking electric vehicles; control allocation algorithm; electric vehicles actuator; ground adhesion conditions; vehicle integrated control algorithm; Actuators; Force; MATLAB; Mathematical model; Resource management; Torque; Vehicles; CANoe; MATLAB; co-simulation; control allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo

Conference_Location

Beijing

Print_ISBN

978-1-4799-4240-4

Type

conf

DOI

10.1109/ITEC-AP.2014.6941219

Filename

6941219