Offline-optimization and online-predication torque distribution method
A torque distribution method and torque distribution technology, applied in mechanical equipment, hybrid vehicles, transportation and packaging, etc., can solve the problems of failure to achieve the overall situation, the highest fuel economy of the whole vehicle, and the inability to control the real vehicle in real time. Improve real-time performance, reduce online calculations, and ensure fuel economy
A torque distribution method and torque distribution technology, applied in mechanical equipment, hybrid vehicles, transportation and packaging, etc., can solve the problems of failure to achieve the overall situation, the highest fuel economy of the whole vehicle, and the inability to control the real vehicle in real time. Improve real-time performance, reduce online calculations, and ensure fuel economy
CN109733378AActive Publication Date: 2019-05-10JIANGSU UNIV
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[0010] The present invention will be further described below in conjunction with accompanying drawing.
[0011] Step1: Driver torque demand modeling based on Markov model
[0012] The key to the design of model predictive controllers is to predict the output of the controlled object according to the current state information, prediction model and disturbance input (vehicle speed demand, torque demand or power demand, etc.) in the future. During the driving process, the driver will control the opening of the accelerator pedal and brake pedal according to his own driving intention, driving habits and external environment, so that the torque demand or power demand of the vehicle is highly random. In view of the randomness of the actual driving conditions, the present invention describes the driver's torque demand in the prediction model based on the Markov chain. Build a Markov model, starting from the current state x i transition to state x at the next moment j The probabilit...
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The invention discloses an offline-optimization and online-predication torque distribution method. The offline-optimization and online-predication torque distribution method comprises the steps of when a driver is going to drive a vehicle to one destination, manually selecting a driver model first and then inputting the destination; enabling a vehicle controller to optimize a travel for a learningresult of the driver according to the selected driver model; planning a path according to a starting point and a terminal point of the travel; using the selected terminal point of the travel to obtain road condition information by using a vehicle-mounted navigation system; combining the obtained road condition information, the selected driver model and a battery SOC value to perform preliminary torque distribution optimization by using a dynamic planning method; and then using model predication control to perform dynamic real-time optimal control on the basis of a preliminary torque distribution optimization result. By carrying out further real-time optimal control on the basis of existing preliminary optimization control, the calculation amount of dynamic optimization is reduced, and meanwhile, real-time online control of fuel economy of a hybrid automobile is realized.
Description
technical field [0001] The invention belongs to the field of hybrid electric vehicles, and in particular relates to a torque distribution method in mode switching. 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 automobiles ...
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Patent Timeline
10 May 2019
Publication
CN109733378A
- IPC
- B60W10/06; B60W10/08; B60W20/10; B60W20/15
- CPC
- Y02T10/40; Y02T10/62
- Inventors
- 蔡英凤; 窦磊