Hybrid electric vehicle hardware-in-loop simulation system construction method based on dSPACE

Abstract

The invention relates to a hybrid electric vehicle hardware-in-loop simulation system construction method based on dSPACE. A simulation system comprises a driver operation platform, a whole vehicle controller, a dSPACE hardware system and an upper computer. The whole vehicle model and a motor model are established by adopting a separation modeling method; a dSPACE hardware system is configured forthe whole vehicle model and the motor model, the whole vehicle model and the motor model run in parallel in different cores of a processor, and signal connection between thewhole vehicle controller and the whole vehicle model and between the whole vehicle controller and the motor model is established; the established whole vehicle model and the motor model are compiled, and a file generated by compiling is downloaded to a multi-core real-time processor; closed-loop testing of the whole vehicle controller is carried out. The dSPACE real-time simulation technology is adopted, the motor model and the whole vehicle model are constructed respectively and run in different cores, the dSPACE hardware system is connected with the whole vehicle controller and the driver operation platform, semi-physical simulation of the system is achieved, and the accuracy of system simulation is improved.

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...

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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

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