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A hybrid electric vehicle intelligent power control method based on self-learning function

A hybrid electric vehicle, intelligent power control technology, applied in hybrid vehicles, motor vehicles, transportation and packaging, etc., can solve problems that are difficult to be practically applied and difficult to realize

Active Publication Date: 2018-11-23
乐行(宜昌)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But the disadvantage is that it is difficult to apply in practice, because the real-time road condition information of the whole path needs to be known in advance or accurately predicted to calculate the optimal control strategy
This is often difficult to achieve in practical applications

Method used

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  • A hybrid electric vehicle intelligent power control method based on self-learning function
  • A hybrid electric vehicle intelligent power control method based on self-learning function
  • A hybrid electric vehicle intelligent power control method based on self-learning function

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Embodiment Construction

[0027] Such as figure 1 , 2 Among them, a hybrid electric vehicle intelligent power control method based on self-learning function includes environmental parameter collection, strategy selection, random judgment, strategy execution, strategy evaluation, and updating the Q value table;

[0028] Environmental parameter collection, real-time collection of the current environmental data of the vehicle after the vehicle is started, the environmental data includes the current speed (Vehicle speed), the remaining power percentage of the vehicle power battery (Battery soc), road conditions (Roadgrade), instantaneous power demand (Power demand), Preferably, the environment data also includes charging station information (Charging information);

[0029] Strategy selection, select the vehicle’s next current power strategy according to the environmental parameters and the Q value table. The Q value table records the historical environmental parameters, historical power strategies, and hi...

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Abstract

An intelligent dynamic control method for a hybrid electric vehicle based on a self-learning function comprises the steps of the environmental parameter acquisition, the strategy selection, the random judgment, the strategy implementation, the strategy evaluation, and the update of a Q-value table. The intelligent dynamic control method has the advantages that advantages of two prior methods are integrated, so that the real-time control strategy change and the self-adaption control can be made according to the changing road condition information, and also a optimum or suboptimal control strategy can be given. The intelligent dynamic control method is capable of learning the optimal control strategy from historical driving and control data, and the final effect of the average fuel consumption reduced by 12% can be achieved.

Description

technical field [0001] The invention relates to an intelligent power control method for a hybrid electric vehicle, in particular to an intelligent power control method for a hybrid electric vehicle based on a self-learning function. Background technique [0002] Plug-in (range-extended) hybrid electric vehicles are considered to have good prospects in terms of transportation energy saving and emission reduction, and for this type of vehicle, designing an effective power control system is the key to reducing vehicle unit energy consumption. Most of the existing traditional methods are based on the following two methods: the control strategy of the first method is based on the fixed and simple control rules designed in advance, for example, when the vehicle power battery does not reach the minimum capacity, only the battery is allowed to be used To provide power, when the battery capacity reaches the minimum threshold, the engine is turned on, and power is provided by consumin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W20/10
CPCB60W20/10B60W2510/244B60W2520/10
Inventor 郑云丰
Owner 乐行(宜昌)科技有限公司