An Optimum Design Method for Fuel Cell Vehicle Power Battery Considering Attenuation

Abstract

The invention discloses a fuel cell vehicle power battery optimization design method considering attenuation, which includes inner layer energy management optimization control and outer layer power battery capacity optimization control. On the basis of considering the power battery life attenuation, the inner layer energy management optimization control is designed, and the multi-objective optimization is carried out with the comprehensive hydrogen consumption and the power battery life attenuation as the minimum, and the dynamic programming algorithm is used to solve the problem. On the basis of the optimal control of the outer power battery capacity optimization control of the inner layer energy management to obtain the minimum hydrogen consumption and battery life attenuation, the optimal range of power battery capacity is defined, and the optimal power battery capacity is obtained through ergodic optimization. The method proposed by the invention can optimize the working point of the power source, prolong the service life of the power battery, improve the economy of the vehicle, and reduce the cost of the entire life cycle of the vehicle.

Description

technical field [0001] The present invention belongs to a vehicle control system, and more specifically, the present invention relates to the optimal design of a fuel cell vehicle power battery considering attenuation. Background technique [0002] Electric-electric hybrid fuel cell vehicles have multiple power sources, and it is necessary to reasonably coordinate the working states of each power source to meet the power requirements of the whole vehicle, so as to give full play to its energy-saving advantages. Among them, the performance of the power battery directly affects the performance of the driving motor, thereby affecting the hydrogen fuel economy and emission performance of the vehicle, which is the key to realizing the performance of the vehicle. [0003] Studies have shown that there is a contradictory relationship between hydrogen consumption and power battery life attenuation, and the design of energy management strategies is highly coupled with the optimizatio...

AI Technical Summary

Problems solved by technology

The battery life model can be divided into model method and data-driven method. The model method is based on the battery operating mechanism and aging model, but the complexity is high and the prediction error is large; the data-driven method is based on a large amount of experimental data to build a battery life model. , can only accurately describe the battery life in a single experiment or under a single working condition

[0004] At present, the research on the performance of power batteries is mainly focused on energy management control. For example, the Chinese patent publication number is CN107878445A, and the publication date is 2018-04-06. It discloses an energy management method for hybrid electric vehicles considering battery life. The battery life decay is considered in the global optimization control of the system, and the battery life is improved, but the impact of the change of driving conditions on the battery life is not considered; the existing public patents are rarely considered in the power battery design and vehicle energy management control The relationship between the capacity of the power battery and the economy of the whole vehicle will lead to a decrease in the performance of the battery, which is not conducive to improving the fuel economy of the whole vehicle. This patent has formulated a power battery optimization method based on the consideration of attenuation for fuel cell vehicles. For optimizing the use of batteries Performance and energy savings matter

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