Energy management optimization method of hybrid energy storage system considering power change rate limitation

Abstract

The invention relates to an energy management optimization method of a hybrid energy storage system considering the limitation of the power change rate, comprising: determining the total required power of the electric vehicle according to the driving condition data of the electric vehicle and the basic parameters of the electric vehicle; With Markov property, the required power P can be obtained dem The state transition probability matrix of , defines the state transition probability P of the demand power dem，imj ; Determine the range of each parameter according to the working characteristics of lithium batteries and supercapacitors and the actual working conditions; establish the state transition equation of the system; obtain the state transition probability matrix, and use the required power P dem and lithium battery power P bat Get supercapacitor power P uc , and then according to the current SOC uc Get the SOC of the next moment uc ; With the goal of reducing the energy loss of the system and maintaining the SOC of the supercapacitor, a multi-objective cost function R is established; the optimal strategy is obtained through the Markov decision process algorithm; and the power change rate of the lithium battery is further limited.

Description

technical field [0001] The invention belongs to the field of energy management systems, and relates to a hybrid energy storage system and an energy management optimization algorithm. Background technique [0002] Due to concerns about greenhouse gas emissions and growing consumption of fossil fuels, the development of electric vehicles has received increasing attention, and it is foreseeable that electric vehicles will play an important role in future transportation. As the main energy storage device of electric vehicles, lithium batteries must meet the power and energy requirements of electric vehicles, which leads to the excessive size of lithium batteries. In order to improve the life of lithium batteries, hybrid energy storage systems based on lithium batteries and supercapacitors are used as energy storage devices for electric vehicles. The hybrid energy storage system has the complementary characteristics of high energy and high power density, and has larger energy st...

AI Technical Summary

Problems solved by technology

However, the existing energy management optimization strategies seldom take the limitation of the power change rate of the lithium battery into consideration, so that the energy control strategy does not achieve the optimal effect, so the effect of the energy management optimization algorithm still has a lot of room for improvement

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