Hybrid electric vehicle engine and motor multi-variable torque optimization control distribution method

Abstract

A hybrid vehicle engine and motor multi-variable torque optimization control distribution method, using the measured engine torque and speed and fuel consumption values ​​as the training set to train the neural network, when the training is over and the training results meet the accuracy requirements, Export the trained neural network; refer to the trained neural network in the split torque control algorithm, take the vehicle operating condition parameters as input, calculate the equal fuel consumption value of the engine in real time and convert the instantaneous power value of the engine and motor into instantaneous Fuel consumption: The torque of the engine and motor corresponding to the minimum instantaneous fuel consumption is output to the engine and motor controller as the optimal torque value at this moment. The torque of the engine of the present invention is no longer limited to the three areas divided by the SOC. While satisfying the external demand torque of the vehicle, the fuel consumption is calculated point by point, and finally the engine and motor torque corresponding to the minimum fuel consumption are output, optimizing the The working range of the engine further improves the fuel economy of the vehicle.

Description

technical field [0001] The invention relates to a technology in the field of hybrid electric vehicles, in particular to a multi-variable torque optimization control distribution method for an engine and a motor of a hybrid electric vehicle. Background technique [0002] The energy management and torque distribution of hybrid vehicles are the key to improving the fuel economy of the vehicle. At present, the method used by most OEMs is to distribute the torque according to the six limit curves of the SOC of the vehicle battery. Possibly work in an efficient area. [0003] Existing torque distribution methods cannot well meet the fuel economy needs of HEVs, which are embodied in: most of the SOC is set based on experience, high, medium and low, and the six limit curves corresponding to the engine; when the battery SOC is at a certain In this state, forcibly limiting the engine output torque to the region corresponding to the SOC at this time will cause other engines outside t...

AI Technical Summary

Problems solved by technology

[0003] Existing torque distribution methods cannot better meet the needs of fuel economy of hybrid electric vehicles. The specific manifestations are: most of them set the SOC high, medium and low according to experience, and the six limit curves corresponding to the engine; when the battery SOC is at a certain In the state, the engine output torque is forced to be limited to the area corresponding to the SOC at this time, which will cause other engines outside the area to be unable to select the operating point, and these points are likely to meet the torque requirements of the entire vehicle, and at the same time, the fuel consumption is relatively low

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