Method for controlling hybrid power urban buses

Abstract

The invention discloses a method for controlling hybrid power urban buses. The method comprises the steps of off-line optimizing and on-line controlling. The idea of control strategy switching is put forward, driving reference working conditions targeting regions and more conforming to actual bus driving routes are established, off-line overall optimizing is carried out based on the working conditions, the optimum control effect can be achieved, and the problem that the dynamic planning cannot be applied to on-line and real-time control because the calculated quantity of the dynamic planning is large is solved. When the hybrid buses are driven actually, whether the similarities between the actual driving working conditions and the established driving reference working conditions and between the road prediction working conditions and the established driving reference working conditions are judged on line, if yes, real-time torque distribution is carried out on the hybrid power urban buses by calling dynamic planning optimum control parameters stored in a bus main controller, or otherwise, control strategies are switched, on-line and real-time control is carried out on the buses by adopting the fuzzy logic rule control strategy which is high in self-adaptability and realizability, and accordingly the control strategy adaptation is improved.

Description

technical field [0001] The invention relates to a control method for a hybrid electric city bus, which belongs to the technical field of hybrid electric vehicle control. Background technique [0002] In recent years, with the rapid development of the automobile industry, the number of automobiles has continued to increase, and the pressure of the environment and energy crisis has intensified. The popularization and promotion of new energy automobile technology is one of the effective ways to solve environmental and energy problems in our country. As a key link in the transition from traditional vehicles to pure electric vehicles in new energy technology, hybrid vehicles have both internal combustion engines and batteries as on-vehicle energy sources, making them have better fuel economy and emission performance and relatively pure The advantage of longer mileage of electric vehicles shows great application potential, and has become a hot research topic in the field of automo...

AI Technical Summary

Problems solved by technology

However, this strategy does not consider the dynamic changes of the actual road conditions and the influence of factors such as the efficiency of the motor, battery, and drive train, so it cannot achieve the overall optimum and the highest fuel economy of the vehicle. Therefore, further research is needed on the control strategy. Complete

From the control effect point of view, the global optimization control method with the minimum global fuel consumption or maximum efficiency for fixed driving conditions can be regarded as the most ideal or most fuel-saving optimization method for the hybrid system, but it needs to be known in advance, including road work conditions. The information of the entire driving cycle including information such as the state of affairs, and the amount of calculation is huge, which cannot be directly used for real-time control of the real vehicle, but it can be used as an evaluation standard in the energy management design stage to provide some necessary reference information for real-time control

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