Hybrid electric bus energy management method based on random operation condition model

Abstract

The invention discloses a hybrid electric bus energy management method based on a random operation condition model. The method comprises the following implementation steps of: 1) obtaining a historical speed-displacement relationship and an acceleration-displacement relationship according to the historical speed of the bus, obtaining the historical average speed and average acceleration on each displacement point on the running path, and obtaining a speed random factor of the bus on each displacement point according to the variance of the historical speed; 2) obtaining the power need within a certain prediction displacement section after the current displacement point, obtaining a historical motor power change range within the certain prediction displacement section after the current displacement point of the bus, and obtaining a power distribution ratio range of the current displacement point; and 3) obtaining the optimal distribution ratio of hybrid power, and controlling the output states of an engine and a motor according to the optimal distribution ratio. The method disclosed by the invention has the advantages of reasonable energy distribution, good fuel economy, little exhaust emission, good robustness, energy conservation and environmental friendliness.

Description

technical field [0001] The invention relates to the technical field of hybrid power management and control, in particular to a hybrid power bus energy management method. Background technique [0002] At present, the environmental pollution problem caused by the emission of fuel vehicles on the earth is becoming more and more serious, and the oil resources are limited, which may be exhausted in a few decades. Therefore, hybrid electric vehicle (HEV) has become a research hotspot in the automotive field. HEV uses at least two power sources. braking kinetic energy, etc. [0003] As the main means of transportation in the city, urban buses have the characteristics of a large number, which has a great impact on urban air pollution. Therefore, people began to add hybrid technology to the field of urban buses to reduce urban air pollution. At present, many research groups are studying the energy management strategies of hybrid electric buses. However, most of the control strategi...

AI Technical Summary

Problems solved by technology

However, this strategy is not universal, and the control effect can only be achieved when the bus operates exactly according to the model trajectory

But the actual situation is that the operation of the bus is very random, and it hardly moves according to the trajectory of the customized strategy, and the time consumption is different each time. If the control strategy is based on a fixed model, it is likely that it will not be able to achieve the expected Control effect

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