Study on Isolation Monitoring of High-Voltage Battery System

2010 ◽  
Vol 44-47 ◽  
pp. 571-575 ◽  
Author(s):  
Chang Hao Piao ◽  
Teng Cong

After comparing the pros and cons of various isolation monitoring methods, this article presents the isolation monitoring method which based on unbalanced bridge and the characteristics of high-voltage battery system. Battery is an important component for Hybird-electric vehicle. The safety of high-voltage battery system is important specification for Hybird-electric vehicle. This device which uses Freescale’s 16-bit microcontroller with CAN communications capabilities achieve real-time and accurate measurement of isolation resistance of high-voltage battery system. The article focuses on the working principle of the device, hardware design and software design. This device has high accuracy, real-time, reliability and good working environment adaptability. The measuring accuracy meets the requirement of actual project.

2014 ◽  
Vol 602-605 ◽  
pp. 1782-1786
Author(s):  
Ming Chang Chen ◽  
Hong Wen Zhang

To solve the problem that yield monitoring cannot be done in real time during tomato harvesting in existing technology, a real-time yield monitor device on tomato harvester is designed by an three-dimensional software which is named Solidworks. This article describes the all structural characteristics and working principle of the device. Weighing belt, rollers and three kinds of sensors of the device are mainly designed and selected based on the working environment and technical requirements. The design of yield monitor device promotes popularization of the technology of tomato harvesting yield monitor on tomato harvesting machinery, makes the process of yield monitor in real time during tomato harvest realize automated, intelligently and informationized and provides a theoretical basis for the further study of tomato harvester monitoring technology.


2017 ◽  
Author(s):  
Patrick Maguire ◽  
Hyung Baek ◽  
Stephen Liptak ◽  
Olivia Lomax ◽  
Rodolfo Palma ◽  
...  

2014 ◽  
Vol 1070-1072 ◽  
pp. 1625-1631
Author(s):  
Tao Yan ◽  
Zhan Zhan Qu ◽  
Peng Fei Jia ◽  
Dong Hui ◽  
Yun Jia Liu

Through constructing the battery system of electric vehicle, real-time simulation model of V2G charging converter topology, and combined with material object of hardware and software of V2G charger controller, establishing semi-physical simulation platform for V2G electric vehicle charging system based on RT-LAB real-time systems, which making use of real-time simulation platform to research the control mechanism of charger controller. The experimental results show that: the constructed semi-physical simulation platform is running well, its simulation results of charging and discharging process is relatively consistent with the actual output of V2G charging equipment, it can be used to verify the developed adjustment mechanism of V2G charger and the charging and discharging process of a variety of electric vehicle battery system, provides an ideal semi-physical simulation platform for the verification of the control strategy of electric vehicle V2G charger.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4903
Author(s):  
Yunpeng Liu ◽  
Xinye Li ◽  
Huan Li ◽  
Xiaozhou Fan

Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012053
Author(s):  
Xiaohua Zhang ◽  
Wenxiang Xue ◽  
Shuyuan Wang ◽  
Yi Lu ◽  
Hui Wang

Abstract Current monitoring methods of transmission line operation status can not obtain real-time data of distributed distribution transmission line, which leads to a large error in monitoring results. Therefore, a multi-state on-line monitoring method based on power Internet of Things is proposed. Using the gateway of power internet of things to set up network control access mode, build edge computing model, and using AD chip of ADS8365W5300 to obtain the real-time data of massive distributed distribution network, then make a decision on the fault after processing and analyzing the data. This paper constructs an edge computing model which can complete the data processing and analysis in the edge node, and designs the deployment of the edge computing model. By evaluating the faults in the dynamic incremental fault set, the risk state of transmission line in the danger control area is obtained, and a multi-state on-line monitoring method is designed. The experimental results show that the proposed method can monitor the transmission line running state accuratel


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