A Calculation Method of Traction Torque for Fuel Cell Vehicles with Prediction Capability

Abstract

The invention relates to a traction torque calculation method for a fuel cell car and with a predicting capacity. A torque calculation module is adopted and comprises a pedal processing module, a GM (1,1) grey prediction module and a weighted combination module. According to the accelerator pedal and gear information of the current moment and the corresponding relation between the opening-degree voltage of an accelerator pedal and the torque of a motor under different gears, the pedal processing module calculates the torque T1 corresponding to the accelerator pedal; according to the output torque information of the motor at the current moment and several moments before, the GM (1,1) grey prediction module predicts the output torque T2 of the motor at the next moment; and the weighted combination module conducts adding combination on T1 and T2 through the weighting efficient to obtain the torque Tp. The traction torque calculation method for the fuel cell car and with the predicting capacity has the advantages that in the vehicle control strategy of the fuel cell car, the operating intention of a driver and prediction of the output torque of the motor are combined for calculation of the traction torque of the motor; and adding combination is conducted on T1 and T2 through the weighting efficient, the form is simple, and adjusting is convenient.

Description

technical field [0001] The invention relates to the technical field of automobile electronic control, in particular to a method for calculating traction torque of a fuel cell automobile with predictive capability. Background technique [0002] In view of the consumption of petroleum resources and the demand for emission reduction, the development of new energy vehicles has become an important national strategy. At this stage, new energy vehicles mainly include hybrid vehicles, pure electric vehicles, and fuel cell vehicles. Among them, a fuel cell vehicle is a vehicle in which hydrogen and oxygen (or air) are directly reacted to generate electricity and convert it into kinetic energy. It has the advantages of zero pollution emissions, high energy density and fast hydrogenation speed, and is considered to be the ultimate solution for clean energy for vehicles. [0003] The core component of a hydrogen fuel cell vehicle is the fuel cell, but the output characteristics of the ...

AI Technical Summary

Problems solved by technology

Most of the current vehicle controllers do not have the function of driving load prediction. The controllers with load prediction capabilities proposed in related technologies mostly use methods such as neural network prediction and fuzzy prediction, but these methods are complex in calculation and depend on empirical laws. stronger

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