Dynamic coordination hybrid electric vehicle energy management method based on working condition classification

Abstract

The invention provides a dynamic coordination hybrid electric vehicle energy management method based on working condition classification, and the method comprises the steps: employing an improved PSOalgorithm to optimize a K-means clustering analysis algorithm K-means to carry out the division of driving working conditions, and carrying out the adjustment of the dynamic oil consumption of a hybrid electric vehicle for sudden change working conditions. In the aspect of driving condition division, optimizing a clustering center of a K-means algorithm by the improved PSO algorithm, and then performing the condition division according to extracted characteristic parameters of typical conditions; and when a sudden change working condition occurs, entering a throttle valve dynamic coordinationprogram to perform reasonable torque distribution. An intelligent algorithm and a PID control technology are fused to solve the problems of fuel consumption increase, poor riding comfort and the likecaused by improper torque distribution and sudden accelerator change during sudden acceleration or deceleration at present; the power flow between the engine and the motor is reasonably controlled inreal time, the fuel economy is improved, pollutant emission is reduced, and the riding comfort is improved while the dynamic property is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of vehicle energy management, and in particular relates to a dynamic coordination hybrid vehicle energy management method based on working condition classification. Background technique [0002] With the increasingly serious environmental pollution and energy shortage, countries have adopted measures to save energy and reduce emissions. Therefore, major automobile manufacturers and scientific research institutions have strengthened the research and development of new energy vehicles. Among them, hybrid vehicles have a higher mileage and are better The emission effect has been favored by everyone. Hybrid power is mainly composed of two power sources, and has a variety of operating modes. Through the coordinated switching between modes and the complementary characteristics of energy sources, the fuel economy and the performance of the vehicle system are effectively improved. However, since a hybrid vehicle is...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a dynamic coordination hybrid electric vehicle energy management method based on the classification of operating conditions. The coordination program conducts reasonable torque distribution for different working conditions, and integrates intelligent algorithms and advanced PID control technology to solve current problems such as increased fuel consumption

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