Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Optimization method for smoothness of new energy vehicle based on big data

A technology of new energy vehicles and optimization methods, which is applied in the field of ride comfort optimization of new energy vehicles based on big data, and can solve problems such as vehicle ride comfort deterioration.

Active Publication Date: 2018-09-21
JIANGLING MOTORS
View PDF14 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a method for optimizing the ride comfort of new energy vehicles based on big data. The server detects the ride comfort status of the vehicle, adjusts the parameters of torque compensation, and achieves the purpose of continuously optimizing the ride comfort of the vehicle

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Optimization method for smoothness of new energy vehicle based on big data
  • Optimization method for smoothness of new energy vehicle based on big data
  • Optimization method for smoothness of new energy vehicle based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] see figure 1 , the present invention is based on big data new energy vehicle ride comfort optimization method, through the following steps, to achieve continuous optimization of vehicle ride comfort:

[0022] Step 1. T-BOX (vehicle terminal) detects the vehicle motor torque, motor speed, and vehicle speed signals, and uploads the collected vehicle data to the big data server;

[0023] Step 2, the big data server analyzes the long-term running data of the vehicle, and obtains the vibration condition of the vehicle by calculating the frequency and amplitude of the motor vibration ( Figure 4 Shown is the vibration data of the whole vehicle) whether it is caused by the change of the clearance of the transmission system. For the fluctuation caused by the vehicle factor, the motor torque compensation parameter is adjusted by using the motor anti-shake compensation algorithm (ASD);

[0024] Step 3, T-BOX updates the anti-shake parameters through the vehicle network (receives...

Embodiment 2

[0026] see figure 1 , figure 2 , image 3 The ride comfort optimization method for new energy vehicles based on big data in this embodiment is different from Embodiment 1 in that the motor anti-shake compensation algorithm (ASD) reversely compensates the torque of the motor when the vehicle shakes To reduce the jitter value of the speed, by calculating the difference between the actual speed and the target speed, multiplying it by the compensation coefficient Kp to obtain the actual motor torque that needs to be compensated, adjust the motor torque compensation parameters; and analyze the compensated vehicle speed fluctuation data , if there is optimization, the current jitter compensation parameters will be sent to T-BOX; usually the compensation coefficient Kp is fixed, when the gap of the vehicle transmission system changes, this Kp parameter may not meet the needs of vehicle jitter compensation At this time, this parameter is optimized through the analysis of big data, ...

Embodiment 3

[0028] see figure 1 , figure 2 , image 3 , Figure 4 . The big data-based ride comfort optimization method for new energy vehicles in this embodiment is different from Embodiment 1 in that: the cloud server performs data processing through the motor speed uploaded by T-BOX and the torque signal requested by the VCU. If the fluctuation of the lower motor speed exceeds a calibrated amount, it can be judged that the vehicle is in a situation of excessive vibration. It is necessary to adjust the torque compensation parameters and increase the torque compensation:

[0029] When the jitter occurs, there will be a basic anti-shake function between the VCU and the MCU (microprocessor). Data analysis, the T-BOX forwards the anti-shake parameter adjustment data to the internal anti-shake algorithm of the MCU, and adjusts the compensation gain of the torque;

[0030] In the motor anti-shake compensation algorithm, the compensation of the motor torque is obtained through the differ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an optimization method for the smoothness of a new energy vehicle based on big data, which comprises the following steps: 1, T-BOX detects a vehicle motor torque signal, a motor rotating speed signal and a vehicle speed signal, and uploads the collected whole vehicle data to a big data server; step 2, the large data server analyzes the running data, for a long time, of thevehicle, calculates whether the jitter condition of the vehicle is caused by the change of the clearance of the transmission system by calculating the frequency and the amplitude of the vibration ofthe motor, a motor anti-shake compensation algorithm is used to adjust the torque compensation parameters of the motor for fluctuation caused by vehicle factors; Step 3, the T-BOX updates the anti-shake parameter through the whole vehicle network and adjusts the compensation torque of the motor. According to the invention, the problem that the vehicle smoothness is deteriorated due to the change of the mechanical gap of the power system under the driving condition of the motor is solved, and through the detection of the smoothness state of the vehicle by a cloud server, the parameters of the torque compensation are adjusted so as to realize the continuous optimization of the smoothness of the vehicle.

Description

technical field [0001] The invention relates to a vehicle ride comfort optimization method for a new energy vehicle. Based on the Internet of Vehicles technology, the shake condition of the motor speed is detected, the torque of the motor is compensated, the shake of the motor speed is reduced, and the ride comfort of the vehicle is optimized. Background technique [0002] At present, with the serious problem of environmental pollution, the state has issued a series of policies to encourage the development and development of new energy vehicle technology. During the use of new energy vehicles, due to temperature changes or long-term mechanical wear, the mechanical properties of the transmission system will be damaged. As the gap becomes larger, the original torque compensation value cannot adapt to the current vehicle condition, and the ride comfort of the vehicle will deteriorate. In view of the progress of various detection technologies and information transmission technolo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B60L15/20
CPCB60L15/20B60L2240/12B60L2240/421B60L2240/423Y02T10/72
Inventor 胡松华刘伟东
Owner JIANGLING MOTORS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com