A fault diagnosis method of a thermal management system of a hybrid electric vehicle

Abstract

The invention claims a fault diagnosis method of a thermal management system of a hybrid electric vehicle, including such steps of selecting the water outlet temperature, pressure and flow rate of each component of thermal management system as input variables, arranging temperature, pressure and flow rate sensors in each loop of thermal management system, and collecting sample data under normal condition and fault condition respectively; using a principal component analysis (PCA) to extract the features of the sample data, and dividing the sample data into training set and test set; designingthe fault diagnosis model of RBF neural network, and optimizing the basis function center, variance and connection weights of RBF neural network by particle swarm optimization algorithm; applying thetrained RBF neural network to the fault diagnosis of HEV thermal management system, and obtaining the fault states of each actuator directly. The method of the invention utilizes the real-time parameters of each component to diagnose the state and the fault of the thermal management system, and can detect the fault of the thermal management system in time and directly determine the fault position.

Description

technical field [0001] The invention belongs to the field of fault diagnosis of a hybrid electric vehicle, in particular to a fault diagnosis method for a heat management system of a hybrid electric vehicle. Background technique [0002] With the continuous increase of automobile production and ownership, problems such as global warming, air pollution, and reduction of fossil energy are becoming more and more serious. Energy conservation and environmental protection have become one of the urgent problems to be solved in current automobile research. Hybrid electric vehicles make full use of the working characteristics of the engine, battery and motor, can distribute energy reasonably, and can effectively improve fuel economy, cleanliness and environmental protection, and reduce emissions under the premise of meeting the vehicle's power requirements and driving performance. One of the effective ways to save energy and reduce emissions. [0003] At present, scholars from vario...

AI Technical Summary

Problems solved by technology

However, BP neural network is easy to fall into local optimum, and the convergence speed is slow. RBF neural network can be used for cooling system fault diagnosis to solve this problem.

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