Double-mode hybrid vehicle and five-parameter control method and device of working mode of vehicle

Abstract

The invention discloses a double-mode hybrid vehicle and a five-parameter control method and device of a working mode of the vehicle. The method comprises the steps of obtaining the current vehicle speed of double-mode hybrid vehicle; according to the engine idle rotating speed, the tire size and the final ratio of the double-mode hybrid vehicle, obtaining the idle vehicle speed corresponding to the idle rotating speed; if the current vehicle speed is smaller than or equal to the idle vehicle speed, obtaining a first working mode distribution model; if the current vehicle speed is larger than the idle vehicle speed, obtaining a second working mode distribution model; obtaining current battery charge state and wheel required torque of a power battery of the double-mode hybrid vehicle; according to the current battery charge state, the wheel required torque and the first working mode distribution model or the second working mode distribution model, determining the working mode of the double-mode hybrid vehicle. The frequent jumping problem between the working modes is solved, the comprehensive performance of the double-mode hybrid vehicle is improved, the fuel economy is improved, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of vehicles, in particular to a dual-mode hybrid electric vehicle and a five-parameter control method and device for its working mode. Background technique [0002] A control method for the working mode of the four-wheel-drive hybrid electric vehicle is proposed in the related art, in which 5 working modes and transition conditions between the various modes are given. The control method in the related art only gives possible working modes and determines the transition conditions between the modes, but the control method in the related art has the following disadvantages: 1) It does not consider the frequent jumping between modes, only using State of charge SOC and demand torque are control parameters, without considering constraints such as the previous working mode and state duration, if the control method of the current working mode is adopted, it may cause continuous jumping faults between certain states ...

AI Technical Summary

Problems solved by technology

The control method in the related art only gives possible working modes and determines the transition conditions between the modes, but the control method in the related art has the following disadvantages: 1) It does not consider the frequent jumping between modes, only using State of charge SOC and demand torque are control parameters, without considering constraints such as the previous working mode and state duration, if the control method of the current working mode is adopted, it may cause continuous jumping faults between certain states ; 2) The SOC control is relatively simple. It only considers the normal working conditions and does not take into account the starting process of the vehicle. The performance is better; if the SOC is far lower than the target value, the pure electric working condition cannot be used to avoid battery failure; 3) The current switching conditions between modes are fixed values, which cannot be calibrated, which is not conducive to the calibration and debugging of the actual vehicle. The change of the mode may improve the working efficiency of the engine, but it will also increase the power consumption; under certain working conditions, although the engine efficiency is greatly improved, the fuel economy of the vehicle is actually poor due to the increased power consumption of the battery and motor. , the improvement of power consumption efficiency should be integrated in the process of determining the critical value; 4) Consideration is not comprehensive, although a variety of modes are given, but due to the large number of modes, whether these modes can be correctly distributed on the plane of SOC and demand torque, As well as which modes can be converted to each other, whether the specific conversion conditions are correct, does not fully prove

In short, the control method in the related art cannot keep the vehicle in the best state in real time, which affects the fuel economy of the vehicle and leads to poor user experience

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