Construction method of hardware-in-the-loop simulation system for hybrid electric vehicle based on dspace

Abstract

The invention relates to a method for constructing a dSPACE-based hardware-in-the-loop simulation system of a hybrid electric vehicle. The simulation system includes a driver operation platform, a vehicle controller, a dSPACE hardware system and a host computer. By adopting the method of separate modeling, the vehicle model and the motor model are established; the dSPACE hardware system is configured for the vehicle model and the motor model, so that the vehicle model and the motor model run in parallel on different cores of the processor, and the vehicle controller and motor model are established. The signal connection of the vehicle model and the motor model; compile the established vehicle model and motor model, and download the compiled files to the multi-core real-time processor; the vehicle controller performs closed-loop testing. The present invention adopts dSPACE real-time simulation technology to respectively construct motor model and vehicle model and run them on different kernels. The dSPACE hardware system is connected with the vehicle controller and the driver's operating platform to realize semi-physical simulation of the system and increase the accuracy of system simulation. sex.

Description

technical field [0001] The invention belongs to the technical field of hybrid electric vehicles, in particular to a method for constructing a dSPACE-based hardware-in-the-loop simulation system for hybrid electric vehicles. Background technique [0002] As one of the cores of hybrid electric vehicles, the control algorithm and strategy of the vehicle controller (VCU) affect the performance of the vehicle. Hardware-in-the-loop simulation system is an important part of the VCU function test. Compared with the real vehicle test, it can not only save the verification cost, manpower and material resources, but also test the working conditions under the extreme conditions that the real vehicle cannot test, thereby shortening the development time. , to improve the quality of the control algorithm of the vehicle controller. [0003] However, the existing vehicle controller hardware-in-the-loop simulation platform generally downloads the vehicle model and driver model to the real-ti...

AI Technical Summary

Problems solved by technology

[0003] However, the existing vehicle controller hardware-in-the-loop simulation platform generally downloads the vehicle model and driver model to the real-time simulation system, and the driver input signal is operated through the host computer. Although the output sensor signal can be corrected by calibration, the Since the limitation of the mathematical model itself cannot fully reflect the driver's driving intention, the real driver's operation can be selected for signal input during the manual test operation; at the same time, the general standard working condition does not include ramps, and for the cycle working condition simulation , ignoring the ramp resistance

Moreover, the existing vehicle controller hardware-in-the-loop simulation platform not only has low confidence in the fuel consumption simulation test, but also when building the power source model, since the power source of the hybrid electric vehicle is provided by the engine and generator, the motor model requires a small Only the simulation step size can run stably, and the simulation step size of the vehicle model is not as strict as that of the motor model. If both of them use a small step size, it will increase the calculation amount of the model, the calculation is complicated, and it is easy to cause data overflow

Images