Hybrid bus online self-learning energy management method

Abstract

The invention discloses a hybrid bus online self-learning energy management method which comprises the following steps of firstly controlling the torque allocation of an engine and a motor according to the initial energy management strategy set when delivery; and along with the running of a bus on a fixed route, obtaining an operating value function corresponding to the initial strategy, starting from the operating value function, and automatically learning an energy management strategy applicable to a bus running road condition online by virtue of the reciprocating running of the bus on a road. By fully utilizing the characteristic that a hybrid bus runs on the same route in a reciprocating manner, a self-learning method is adopted to obtain the energy management strategy applicable to the bus running road condition. The method has the characteristics of reasonable energy allocation, high fuel economy, less exhaust emission, good robustness, energy conservation and environmental friendliness.

Description

technical field [0001] The invention relates to an energy management method for a hybrid electric vehicle, in particular to an online self-learning energy management method for a hybrid electric bus. Background technique [0002] Due to its energy-saving and environmental-friendly features, hybrid electric buses have been promoted and popularized in large and medium-sized cities across the country. At present, the design of the energy management strategy of hybrid electric buses is generally carried out by adjusting the parameters of the energy management strategy assuming that the bus is running under a fixed urban standard road condition. Due to the complexity of the actual road conditions, which are often different from the adopted urban standard road conditions, the energy management strategy obtained by this method cannot obtain ideal fuel-saving efficiency in practice. Therefore, it is necessary to design an energy management strategy suitable for use in hybrid electr...

AI Technical Summary

Problems solved by technology

This method can only be performed offline due to the large amount of dynamic programming calculations. For buses with different routes, the energy management strategies need to be solved separately, so this method is difficult to apply to hybrid buses.

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