Fuel cell vehicle energy consumption optimization system considering cabin temperature

Abstract

The invention relates to an energy consumption optimization system of a fuel cell vehicle considering cabin temperature, which belongs to the technical field of energy-saving control of vehicles. The purpose of the present invention is to use the dynamic traffic preview information provided by the intelligent network connection information, taking into account the power of the fuel cell hybrid electric vehicle and the comfort of the cabin temperature, and realize the further improvement of the fuel economy of the vehicle considering the cabin temperature. Fuel cell vehicle energy consumption optimization system. The steps of the invention are: predicting the vehicle speed based on the Markov process, establishing a fuel cell stack efficiency and hydrogen consumption model, establishing an optimization problem, and transmitting the obtained control input sequence to the power execution control unit of the fuel cell hybrid electric vehicle. The invention considers the influence of the vehicle cabin temperature on energy consumption, improves the adaptability of the vehicle under low temperature and high speed conditions, and maximizes the energy-saving potential of the fuel cell hybrid vehicle.

Description

technical field [0001] The invention belongs to the technical field of energy-saving control of automobiles. Background technique [0002] At present, the rapid development of automobiles has become the main source of energy consumption and greenhouse gas emissions, and the development of new energy vehicles is an important way to solve this problem. Fuel cell hybrid vehicles have the advantages of long cruising range, clean and pollution-free, and fast filling, and are regarded as one of the main development directions of the next generation of new energy vehicles. [0003] my country has proposed a strategic emerging industry plan for the development of new energy vehicles and intelligent networked vehicles, and in the plan it is proposed to vigorously develop the key technologies of fuel cell vehicles. The development of fuel cell vehicles has become an important national strategy of our country. Driven by the promotion, hydrogen energy vehicles have entered the fast lane...

AI Technical Summary

Problems solved by technology

However, the existing fuel cell vehicle energy optimization control strategy is decoupled from the temperature control, and can only coordinate and distribute the driving energy of the fuel cell and the power battery according to the power demand, so as to achieve the purpose of optimizing fuel economy, without considering the impact of cabin temperature. The impact of vehicle energy reduces the space for fuel saving;

[0011] 2. The SOC of the power battery responds quickly to the change of power, but the temperature of the car cabin responds slowly to the change of air conditioning power, that is, the time scale of the dynamic response of the power chain and the thermal chain of the fuel cell hybrid electric vehicle is different. , which brings difficulty to the fast solution of online coordinated optimization control system design and optimization problems;

[0012] 3. The fuel cell cannot be started and stopped frequently when the car is running, so the control of the fuel cell is more difficult than the traditional engine

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