Real vehicle working condition online electric vehicle optimization control simulation method and system

An electric vehicle, optimized control technology, applied in general control systems, control/regulation systems, combustion engines, etc., can solve problems such as inability to meet test requirements, high costs, and complicated operations, achieving high reliability and reference value, Good scalability and high reliability

Inactive Publication Date: 2021-09-03
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

[0004] For the test method using the established working conditions, it usually only targets a single traffic environment with obvious characteristics, so it is difficult to provide comprehensive and real tested working conditions, and cannot meet the testing requirements of the global energy management strategy for the entire travel chain; For the test method using virtual scenes to obtain simulated driving conditions, it is necessary to establish a large number of road scenes and traffic participants in the environment, and at the same time to establish an accurate driver model, so the operation is complicated and the cost is too high in the actual application process Meet a wide range of testing needs

Method used

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  • Real vehicle working condition online electric vehicle optimization control simulation method and system
  • Real vehicle working condition online electric vehicle optimization control simulation method and system

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Embodiment

[0037] An online optimization control simulation method for electric vehicles under actual vehicle conditions, such as figure 1 shown, including the following steps:

[0038] S1: Obtain the set destination information of the driving vehicle;

[0039] S2: Real-time acquisition of positioning information and traffic environment information of driving vehicles. The positioning information includes vehicle position information and vehicle attitude information.

[0040] Among them, the positioning information is obtained through the GPS positioning device on the driving vehicle, and the traffic environment information is obtained through the vehicle-mounted intelligent sensor on the driving vehicle, and a request is sent to the GPS positioning device, vehicle-mounted camera, and laser radar to update the current vehicle location and traffic environment information , the traffic environment information in this embodiment is the location information of surrounding vehicles and obsta...

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Abstract

The invention relates to a real vehicle working condition online electric vehicle optimization control simulation method and system. The method comprises the following steps: S1, acquiring set destination information of a running vehicle; s2, acquiring positioning information and traffic environment information of a running vehicle in real time; s3, obtaining road condition information in combination with map data, positioning information and set destination information; s4, processing the road condition information by using an energy consumption optimization algorithm and a vehicle control algorithm to obtain a vehicle control demand; and S5, performing real-time simulation according to the traffic environment information and the vehicle control requirements, and returning to the step S2 after the real-time simulation is completed. Compared with the prior art, the method and system have the advantages that the real vehicle driving working condition can be collected to replace the manually set working condition, and the simulation test has higher credibility and reference value and the like.

Description

technical field [0001] The invention relates to the field of vehicle test simulation, in particular to an electric vehicle optimization control simulation method and system with real vehicle working conditions online. Background technique [0002] The development of Internet of Vehicles technology provides new ideas for vehicle energy management strategies. Obtaining wider and more real-time traffic environment information through Internet of Vehicles is helpful for more accurate and optimal energy consumption control planning for vehicles. In the development process of related energy management algorithms, simulation tests are required to debug and verify the algorithms, and the tested working conditions used in the simulation process are one of the important factors that determine the final test results. [0003] During the simulation test of the vehicle, the vehicle model runs in a virtual test scene or under a given working condition, and the algorithm formulates a vehic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02
CPCG05B17/02Y02T10/40
Inventor 张勇谢溢洲
Owner SHANGHAI JIAO TONG UNIV
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