Hybrid vehicle abnormal sound diagnosis and driving decision-making method

Abstract

The invention provides a method for diagnosing and driving decision-making of abnormal noise of a hybrid electric vehicle. First, the sound acquisition device collects the sound signal of the driving environment in real time, and transmits the collected sound signal to the signal preprocessing module to intercept the abnormal sound after noise reduction filtering. Then, the abnormal sound signal is transmitted to the sound source localization module and the abnormal sound object recognition module respectively, and the sound source localization module and the abnormal sound object recognition module respectively obtain the location and the source of the abnormal sound according to the abnormal sound signal, The object attribute module integrates the location of the abnormal sound and the source of the abnormal sound to form the object attribute of the abnormal sound. The abnormal sound category determination module determines whether the abnormal sound belongs to the external abnormal noise or the abnormal The vehicle operation mode is evaluated according to the type of impact, and the vehicle control module performs corresponding control. The method of the invention is simple and feasible, and the diagnosis of sound signals is used to support control decision-making, thereby improving the accuracy of driving diagnosis and improving ride comfort and safety.

Description

technical field [0001] The invention relates to a method for diagnosing abnormal noise and driving decision-making of a hybrid electric vehicle. Background technique [0002] Hybrid electric vehicles combine the advantages of petroleum fuel and battery electric energy. The power components are composed of engine, motor and generator, the gearbox is used as the mechanical coupling, and the rectifier and inverter device is used as the power converter. However, since a hybrid vehicle integrates two different power systems, its drive train requires a more complex mechanical coupler than a traditional fuel vehicle, resulting in a decrease in vehicle reliability. During the driving process of the vehicle, the driving diagnosis is generally carried out according to the surrounding environment, etc., and the vehicle operation mode is decided. A device that emits abnormal noise" (CN201611031408.0), there are also software programs for the positioning and identification of sound sign...

AI Technical Summary

Problems solved by technology

However, since hybrid vehicles integrate two different power systems, compared with traditional fuel vehicles, the drive train requires a more complex mechanical coupler, resulting in a decrease in vehicle reliability

During the driving process of the vehicle, the driving diagnosis is generally carried out according to the surrounding environment, etc., and the vehicle operation mode is decided. A device that emits abnormal noise" (CN201611031408.0), there are also software programs for the positioning and identification of sound signals such as "Aural Perception and Intelligent Decision-Making for Unmanned Vehicles" (CN201610483068.9), and there are also some programs about sound Computer programs and methods for signal location and identification, but abnormal noise signals are not involved in vehicle driving diagnosis decision-making, and applied to hybrid system fault diagnosis and intelligent driving decision-making

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