Quick DP control method applied to PHEV

Abstract

The invention relates to a quick DP control method applied to PHEV, which adopts a method based on energy to define an on-vehicle storage cell SOC, and derived equations of an SOC state transition equation, a relation equation of the optimal specific fuel consumption and the power of an engine, a quadratic performance index function, a quadratic optimal performance index of the specific fuel consumption, a multiple-message merged equation for calculating the total power required for vehicle running, and the like, wherein the on-vehicle storage cell SOC is defined by the method based on energy; the SOC state transition equation has a linear form; the optimal specific fuel consumption and the power of the engine have a quadratic function form; the performance index function is in a 1*1 dimensional quadratic function form; and the optimal performance index of the specific fuel consumption is in the iteration form of the quadratic analytical function of the SOC. The quick DP control method can quickly calculate the optimal power distribution ratio of an engine / motor and the optimal speed ratio of the speed threshold of a speed changer, realize the economical global optimal control of fuel, and ensure that the on-vehicle storage cell SOC is maintained in the expected operation interval.

Description

technical field [0001] The invention relates to a fast Dynamic Programming (DP) control method for fuel economy optimization of a Plug-in Hybrid Electric Vehicle (PHEV) considering complex road and driving information. Background technique [0002] Energy and the environment are necessary conditions for sustainable development, and reducing and eliminating dependence on oil is an urgent task related to global economic security and energy security. With the development and progress of society, the number of traditional cars (mainly fueled by gasoline and diesel) is increasing year by year, which makes the three main problems of energy, greenhouse gas and air quality fall into a vicious circle, and become the three major problems affecting the future development of automobile technology. big problem. Nowadays, with the development of power battery, motor and power electronics technology, electric vehicles have the possibility to effectively solve the above problems. In the n...

AI Technical Summary

Problems solved by technology

The University of Wisconsin-Milwaukee proposed the Trip Model Based control strategy. By segmenting the driving path, the calculation time has been reduced to a certain extent, but its optimal control effect will produce large errors with the segmentation processing. Moreover, the segmented pre-processing workload is huge and the versatility is poor

Images