Two-gear AMT comprehensive gear shifting method of pure electric vehicle

Abstract

The invention discloses a two-gear AMT comprehensive gear shifting method of a pure electric vehicle, and belongs to the technical field of new energy vehicle power systems. Firstly, an optimal dynamic gear shifting rule and an optimal economical gear shifting rule are provided according to overall performance demands of the pure electric vehicle; based on the two optimal gear shifting rules, withthe gear shifting point vehicle speed and the gear shifting delay quantity as optimization variables, and with the overall vehicle energy consumption and the gear shifting point acceleration difference value as target functions, a comprehensive performance gear shifting rule optimization model giving consideration to both economy and dynamic property is built; and finally, the optimization modelis solved by using a NSGA-II genetic algorithm to obtain comprehensive performance gear shifting rules.

Description

technical field [0001] The technical field of the new energy vehicle power system of the present invention is, in particular, a two-speed AMT comprehensive shift method for pure electric vehicles. Background technique [0002] The shift schedule is the core technology of AMT control theory, which determines the performance of the power transmission system and affects the acceleration performance and driving range of pure electric vehicles. Therefore, the development of AMT shift schedules suitable for pure electric vehicles is to improve the dynamic performance of electric vehicles. and one of the key technologies of economy. After years of development, the shift schedule has changed from the initial single-parameter shift schedule, to the widely used two-parameter shift schedule, and then to the three-parameter shift schedule that basically conforms to the dynamic process of the vehicle, and on the basis of various basic shift schedules. A comprehensive shift control strat...

AI Technical Summary

Problems solved by technology

[0005] In terms of comprehensive shifting schedules, Zhang Yu conducted research on the shifting schedules of pure electric vehicles, analyzed and designed the optimal dynamic and optimal economical shift schedules of pure electric vehicles, and studied the load identification technology, analyzed The impact of load changes on the shifting schedule was studied. On this basis, a comprehensive shifting schedule for pure electric vehicles based on working condition identification was proposed; The constant power output requirement of the drive motor, the value of the SOC of the battery pack, and the four parameters of the accelerator pedal opening, vehicle speed and acceleration are used to establish the optimal power and economical shift schedule of pure electric vehicles, and the simulation Experiments show that the specified shift schedule is better than the traditional single-parameter or double-parameter shift schedule; Liu Fuxiao et al. based on the basic shift schedule, by analyzing the driver's intentions, using fuzzy control theory, established a driver model and a shift algorithm. Gear logic judgment model, the simulation results show that the power meets the requirements of electric vehicles. When analyzing the driver's intention, only the accelerator pedal is considered, and the braking state is not considered.

Images