Instantaneous optimization control method for range extender

Abstract

The invention provides a method for instantaneous optimization control of a range extender, comprising the following steps: 1), collecting the state of charge SOC of the electric motor of the range extender; performing step 2; 2), performing an instantaneous optimization strategy according to the state of charge SOC, and obtaining the engine The optimal torque demand controls the operation of the generator according to the optimal torque demand of the engine; execute step 3; 3), calculate the integrated loss power Hon(k) when the engine cuts in and the integrated loss power Hoff(k) when the engine exits; Execute step 4; 4), according to the integrated loss power Hon(k) when the engine is cut in and the integrated loss power Hoff(k) when the engine is turned off, perform the cut-in of the transmitter or the exit of the transmitter. The invention is more effective in judging the engine cut-in timing, and the reasonable numerical algorithm reduces the computational complexity and improves the real-time performance.

Description

technical field [0001] The invention relates to a hybrid electric vehicle, in particular to a method for instantaneous optimal control of a range extender. Background technique [0002] The energy control strategy of the extended-range vehicle is the key to realize the energy saving of the whole vehicle. There are three main categories of energy allocation strategies for hybrid electric vehicles: rule-based logic threshold energy control strategies, optimal control-based energy control strategies, and artificial intelligence-based energy control strategies. [0003] The core idea of ​​the rule-based logic threshold energy control strategy is to adjust the operating range of the engine by the motor so that the engine always runs at [0004] High-efficiency range, in order to obtain higher fuel economy. The rule-based logic threshold energy control strategy is a static control strategy, which cannot obtain optimal performance without considering the dynamic changes of the ac...

AI Technical Summary

Problems solved by technology

[0011] The energy control strategy based on artificial intelligence has a large amount of calculation, which requires high performance of general-purpose MCU, and it is difficult to meet the real-time calculation requirements of real vehicles.

[0012] The design idea of ​​the energy management strategy based on instantaneous optimization is to minimize the equivalent fuel consumption of each control cycle as the control target. Although the feasibility is strong, the ideal control effect needs to be established on the basis of building an accurate model. The electric energy generated by the braking feedback of the control cycle can be accurately estimated, so it is difficult to apply to real vehicles

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