Expansion Kalman filtering based multiple temperature sensor integrating method

A technology that extends the Kalman and fusion methods, applied in the field of automotive equipment, and can solve the problems of temperature sensor failure, temperature sensor monitoring value not considering relationship, system risk, etc.

Active Publication Date: 2017-06-13
ZHENJIANG HELMHOLTZ HEAT TRANSFER TRANS SYST CO LTD
View PDF5 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the method of directly measuring the temperature of the heater will be affected by the location of the sensor, and the failure of the temperature sensor will bring huge ri

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
  • Expansion Kalman filtering based multiple temperature sensor integrating method
  • Expansion Kalman filtering based multiple temperature sensor integrating method
  • Expansion Kalman filtering based multiple temperature sensor integrating method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0080] Such as figure 1 Shown is the layout of the front temperature sensor of the heating system of the present invention, as figure 2 Shown is the arrangement diagram of the temperature sensor on the back side of the heating system of the present invention. Such as image 3 Shown is a cross-sectional view of the heating body of the heating system of the present invention, the heating body includes a heating layer 1, an adhesive layer 2, an insulating ceramic layer 3, and a heat-conducting aluminum layer 4, and the insulating ceramic layer 3 covers the heat-conducting aluminum layer 4, The adhesive layer 2 covers the insulating ceramic layer 3 , and the heating layer 1 covers the adhesive layer 2 .

[0081] The multi-temperature sensor fusion method based on extended Kalman filtering of the present invention comprises the following steps: ...

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 discloses an expansion Kalman filtering based multiple temperature sensor integrating method. During temperature measurement and calculation of a heater, model calculation and measurement values of different temperature points are integrated, temperature measurement precision is improved and system safety operation is ensured when temperature sensor failure occurs. According to the invention, theoretical mutual relation of the temperature points and system input can be reflected and prior temperature sensor information can be utilized fully. Besides, the calculation amount of a control device is not large and real time data update can be implemented. When temperature sensors are not disposed in a to-be-detected position, the temperature of the to-be-detected position can be estimated by utilizing data integration of a system model and measurement values. According to the invention, hardware design difficulties and hardware circuit cost are reduced and the temperature of the to-be-detected point can be estimated correctly. When single-point temperature sensor failure occurs, temperature of each temperature point can be estimated according to data of other temperature sensors and a system model, so that safe and effect operation of a heating system is ensured and system safety level is improved.

Description

technical field [0001] The invention relates to a temperature acquisition and estimation method for a heater of an electric vehicle or a hybrid vehicle, in particular to a multi-temperature sensor fusion method based on an extended Kalman filter, which belongs to the technical field of automobile equipment. Background technique [0002] The heating system of the vehicle needs to provide heat quickly and accurately through the heating medium. Due to insulation and other requirements, the temperature sensor of the heating system cannot be directly connected to the heating medium or heating element. The water temperature sensor is generally outside the waterway, and the temperature of the heating element and the heating element There is also a layer of film between the sensors, and the temperature measurement values ​​will have different differences under different working conditions. These errors are also related to the structural design of the heating system, the selection of ...

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
IPC IPC(8): G01K13/00G01K13/02
CPCG01K13/00
Inventor 常涛王鹏张飞铁花睿闫洪黎周慧
Owner ZHENJIANG HELMHOLTZ HEAT TRANSFER TRANS SYST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap