Double planetary platoon type hybrid electric vehicle energy management controlling method

Abstract

The invention provides a double planetary platoon type hybrid electric vehicle energy management controlling method, the method establishes a double planetary platoon type hybrid electric vehicle energy management model based on a logic control method of a rule and makes a decision of a double planetary platoon type hybrid electric vehicle working mode, so that an engine and a motor run at the best working point, and efficient management of the double planetary platoon type hybrid electric vehicle energy is achieved; work master-slave relationship and the best working point of the engine and the motor are filtered and determined through combining with a dynamic factor beta and a Fibonacci method; and according to the difference value and charging rate of the actual speed and the target speed, parameters of a dynamic adjustment PID controller achieve efficient energy recovery. According to the double planetary platoon type hybrid electric vehicle energy management controlling method, the method of instantaneous optimization algorithm and the braking energy feedback is adopted to optimize energy management of the double planetary platoon type hybrid electric vehicle, and the oil firing economy of the vehicle and the energy utilization rate of the whole vehicle are improved.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicle energy management, in particular to an energy management control method for a dual-planetary hybrid electric vehicle. Background technique [0002] The present invention is aimed at the control method of the dual-planetary hybrid vehicle, optimizes the engine and the motor according to its power splitting principle, makes the engine and the motor run in a high-efficiency area, realizes local optimization to achieve the global optimal effect, and the planetary row The hybrid electric vehicle uses a double planetary gear mechanism as a power coupling mechanism. According to the different arrangements of the double planetary gear mechanism and the engine and motor, there will be many corresponding working modes. Then select the corresponding working mode and design It is particularly critical to develop a real-time and efficient energy management control strategy to give full play to ...

AI Technical Summary

Problems solved by technology

The motor is used as a flexible factor in the power system, and the engine output power is "shaving peaks and filling valleys" according to the vehicle's working conditions, thereby optimizing the operation of the engine; the logic threshold control strategy algorithm is simple, easy to implement, and has good robustness , but the threshold value of this control strategy has been set in advance and is a fixed value, so it has poor adaptability to working conditions and parameter drift, and it only limits the engine to work in a higher efficiency area, which is provided by the electric motor The remaining power, without taking into account the efficiency of the motor

Transient optimization algorithm, transient optimization control strategy determines the best hybrid system working mode and operating point by calculating the instantaneous fuel consumption and emission of the engine and electric motor at different power distribution combinations and different operating points in real time; usually instantaneous optimization The strategy uses nominal fuel consumption as the control target. However, the amount of calculation is large and the operating cost is high. How to simplify the amount of calculation is the corresponding key point; the global optimization algorithm and the global optimal control strategy are developed by applying the optimization method and optimal control theory Hybrid drive power distribution control strategy, using related optimization methods to calculate and obtain the optimal hybrid power distribution control strategy, but the algorithm is relatively complex, the amount of calculation is huge, and the driving conditions of the car need to be known in advance

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