Parameter matching method for fuel cell and lithium battery hybrid power system

Abstract

The invention provides a fuel cell and lithium battery hybrid power system parameter matching method, which comprises the following steps: S1, setting a multi-dimensional parameter matching optimization tensor space, and carrying out hybrid power system parameter matching optimization; S2, each three-dimensional variable in the multi-dimensional parameter matching optimization tensor space is an alternative parameter matching scheme to be evaluated; S3, on the basis of a deep reinforcement learning algorithm, optimizing a power distribution strategy for each alternative scheme according to the characteristic working conditions; and S4, generating an optimal power distribution result by an energy management strategy based on a reinforcement learning algorithm according to each alternative scheme. According to the method, the equivalent hydrogen consumption cost, the fuel cell operation aging loss cost and the power cell operation aging loss cost are quantitatively considered in real time in the fuel cell energy management strategy optimization problem, optimization targets are comprehensively covered, the calculation time can be shortened, and the efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of new energy, in particular to a parameter matching method of a fuel cell lithium battery hybrid power system. Background technique [0002] Due to the gradual shortage of fossil energy, proton exchange membrane fuel cell vehicles are more efficient and environmentally friendly than traditional engines because they use hydrogen, a renewable resource, and have become a key research and development technology in the national energy field. However, the output characteristics of the fuel cell are weak and the dynamic response is slow. In order to meet the normal driving requirements of the car and enable the car to have a regenerative braking function, it is usually necessary to be equipped with a high-power-density power battery (such as a lithium battery) to form a hybrid power system. The quality of the parameter matching of the fuel cell vehicle hybrid system will seriously affect the vehicle's power, econo...

AI Technical Summary

Problems solved by technology

The energy management strategy used in this method needs to be based on a global optimization algorithm, which is computationally intensive and time-consuming, and the result does not have the potential for real-time application

This method does not consider in detail the influence of the key power parameters of the fuel cell except the rated power and the capacity of the power battery on the economy of the whole vehicle

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