Automatically recognized running path planning method for electromobile based on operation of computer

Abstract

The invention belongs to the technical field of electromobiles, and discloses an automatically recognized running path planning method for the electromobile based on operation of a computer. A targetdetection unit integrated by using a camera module performs target detection on an image in a monitoring camera; a built derived function expression of the target function is used for reducing vibration of the body of the electromobile when in driving; a travel cost evaluation value of each path is computed, and the path of a W value with the lowest travel cost evaluation value is screened out toserve as the optimal path; and the travel position of the electromobile is positioned in real time. According to the method provided by the invention, the optimal method is used for designing the optimal spring stiffness parameter and the optimal damper parameter, and thus the vibration reduction effect of the body of the electromobile achieves the most ideal state; and meanwhile, the optimal pathcan be acquired via the optimal path module, the operation efficiency is greatly improved, convenience is brought to the user, and the user experience is enhanced.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles, and in particular relates to a computer operation-based automatic identification and operation route planning method for electric vehicles. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] An electric vehicle refers to a vehicle powered by a vehicle-mounted power supply, driven by a motor to drive the wheels, and conforming to the requirements of road traffic and safety regulations. It uses electricity stored in the battery to start. Sometimes 12 or 24 batteries are used to power the car, sometimes more. The composition of electric vehicles includes: electric drive and control systems, mechanical systems such as drive force transmission, and working devices to complete established tasks. The electric drive and control system is the core of electric vehicles, and it is also the biggest difference from internal ...

AI Technical Summary

Problems solved by technology

[0005] 1) High-resolution, high-quality picture quality requires a lot of space to store video;

[0006] 2) The monitoring range is relatively large, and the number of monitoring channels is large, which may easily cause confusion in the time of video files;

[0007] 3) For the correlation of similar events, there is no effective connection

Although a certain degree of efficiency has been achieved, there are still some shortcomings: the matching of the algorithm implementation process and visual resolution is not intuitive; the algorithm is complex, resulting in a large amount of data processing and high operating costs; the average analysis of the algorithm leads to important geometric features in the graph. The impact of changes in the overall similarity, resulting in a certain deviation in accuracy and stability

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