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Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
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Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
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Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm

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Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm
Journal Article

Multi-objective optimization of power distribution of hybrid power source based on differential evolution algorithm

2022
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Overview
The hybrid power source needs to achieve the excellent power distribution control to enhance the vehicle performance, the optimization algorithm can automatically seek the optimal target according to vehicle requirements to achieve the best power distribution of hybrid power source. Power consumption is one of the core indicators for evaluating power distribution control of hybrid power source, as well as the current fluctuation of battery is an important factor that affects its power consumption and cycle life. Taking the fully-active hybrid power source configuration as the application object, a differential evolution algorithm with fast convergence speed and strong global search ability to achieve real-time power distribution control with multiple optimization goals is introduced by fully considering two important parameters of power consumption and battery current fluctuation, the power consumption model for the hybrid power source is established, the functional relationship between the power consumption
Publisher
EDP Sciences

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