Energy management control method of fuel cell automobile

Abstract

The invention discloses an energy management control method of a fuel cell automobile. A fuel cell, a super capacitor, a motor and an energy management controller are included, the fuel cell and the super capacitor provide electric energy for the motor through the energy management controller, the fuel cell charges the super capacitor through the energy management controller, and the energy management controller receives signals of the motor, the fuel cell and the super capacitor. The energy management controller is divided into five states according to the residual amount of hydrogen in the fuel cell and the SOC value of the residual electric quantity of the super capacitor, the states are transferred, and power output of the fuel cell and the super capacitor is controlled according to the states. The invention has the beneficial effects that: the power change of the fuel cell can be effectively reduced, and the economical efficiency of the fuel cell electric vehicle is effectively improved; the control strategy is simple in calculation process and can be embedded into a controller chip; and the economical efficiency and the dynamic property of the vehicle are comprehensively improved, and the service life of parts is comprehensively prolonged.

Description

Technical field [0001] The present invention relates to a vehicle energy management and control method, in particular to an energy management and control method for a fuel cell vehicle composed of a supercapacitor and a fuel cell, and belongs to the technical field of fuel cells. Background technology [0002] In order to solve the problem of excessive greenhouse gas emissions from automobiles, fuel cell electric vehicle technology has begun to attract more and more attention from the public. In vehicles using hybrid fuel cells and supercapacitors, energy management of multiple power sources becomes a core issue. The current vehicle energy management technology mostly adopts strategies based on certain rules. Although this strategy does not require knowing the road condition information in advance, it is difficult to obtain the best economy for the entire vehicle and the durability of the components is also difficult to guarantee. Advanced control strategies such as neural ...

AI Technical Summary

Problems solved by technology

However, prolonging the service life of energy components will inevitably lead to higher energy consumption, so it is necessary to balance the vehicle economy and component life issues

At present, most of the patents on fuel cell energy management only consider the economics of the vehicle, ignoring the protection of the service life of the components.

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