Energy control method for hybrid electric vehicle based on birotor flux-switching motor

Abstract

The invention discloses an energy control method for a hybrid electric vehicle based on a birotor flux-switching motor. First and second A / D (Analog / Digital) converters and a pedal position sensor are connected with a first DSP chip through respective signal lines; a vehicle speed acquisition sensor, a third A / D converter and a battery voltage measurement circuit are connected with a second DSP (Digital Signal Processor) chip through respective signal lines; the first and second DSP chips are connected with a main energy management controller; and the main energy management controller is formed by connecting a vehicle demand state scanning module with a control output module through a data processing module. An internal combustion engine is switched off in a low-speed region under low power demand, and the motor is used for separate drive; during hybrid drive, an engine efficiency curve and a battery charge demand are fully considered; and if the electric quantity is medium or relatively low and a charge demand exists, the internal combustion engine runs in an efficient region with higher power, so that the running efficiency of the internal combustion engine is improved, the battery charge is finished in a driving process, and the energy utilization rate is increased.

Description

technical field [0001] The invention belongs to the fields of electrical control and hybrid electric vehicles, and relates to a hybrid electric vehicle using a dual-rotor magnetic flux switching motor, in particular to a method for realizing energy control of the hybrid electric vehicle. Background technique [0002] The problems of battery capacity and charging time in existing pure electric vehicles have not been completely resolved, and the high price and low energy density of power batteries limit the application of electric vehicles. Therefore, extended-range hybrid electric vehicles (EREVs for short) have emerged. Like traditional hybrid electric vehicle systems, extended-range hybrid electric vehicles also have two power sources, an internal combustion engine (ICE) and a motor drive system. However, in traditional hybrid electric vehicles, The internal combustion engine plays a dominant role and provides the main energy, while the drive motor only plays the role of as...

AI Technical Summary

Problems solved by technology

The logic threshold value control strategy module proposed in the document of Chinese Patent No. CN201110130334.7 controls the driving of the hybrid bus by outputting the engine torque and motor torque signals according to the pedal signal, which can effectively reduce the fuel consumption of the bus, but this This control strategy is more dependent on the threshold value experience, and the threshold value will not change with the change of road conditions, and the flexibility is poor, so the application occasions are severely limited

The fuzzy control strategy is proposed in the document with the Chinese patent number CN200910217824.3, which divides the demand working state of the driving motor into 7 areas, and the working state of the power battery into 7 areas. According to the working performance of the engine, the output of the engine The state is divided into 3-5 points of fuel economy and low emission. Fuzzy logic algorithm is used to make the engine, power battery and drive motor work in the high-efficiency area, which reduces the working time of the battery. Although this control method is more flexible, it The uncertainty of the output is large, which reduces the followability of the output working condition and the actual working condition

However, whether it is based on neural network computing technology or multi-agent technology, it requires a lot of data processing and network sharing, which increases the cost and difficulty of implementing this control strategy.

Images