Multivariable torque optimization control distribution method for engine and motor of hybrid electric vehicle

Abstract

The invention relates to a multivariable torque optimization control distribution method for an engine and a motor of a hybrid electric vehicle. The method comprises the following steps of: training a neural network by using actually measured engine torque and rotating speed and an equal fuel consumption value as a training set, and exporting the trained neural network when the training is finished and a training result meets a precision requirement; introducing the trained neural network in a torque division control algorithm, taking the whole vehicle working condition parameters as input, calculating an equal fuel consumption value of the engine in real time, and converting instantaneous power values of the engine and the motor into instantaneous fuel consumption; and taking the torque of the engine and the motor corresponding to the minimum instantaneous oil consumption as the optimal torque value at the moment, and outputting the optimal torque value to an engine controller and a motor controller. According to the method, the torque of the engine is not limited to three areas divided by the SOC any more, the oil consumption is calculated point by point while the external required torque of the whole vehicle is met, finally, the engine torque and the motor torque corresponding to the minimum oil consumption value are output, the working interval of the engine is optimized, and the fuel economy of the whole vehicle is further improved.

Description

technical field [0001] The invention relates to a technology in the field of hybrid electric vehicles, in particular to a hybrid electric vehicle engine and motor multi-variable torque optimization control distribution method. Background technique [0002] The energy management and torque distribution of hybrid electric vehicles are the key to improve the fuel economy of the whole 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 efficient area. [0003] The 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 t...

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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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