Heat Spreading Performance of Integrated IGBT Module with Bonded Vapour Chamber for Electric Vehicle

2021 ◽  
pp. 509-515
Author(s):  
Bo Li ◽  
Yiyi Chen ◽  
Yuying Yan ◽  
Xuehui Wang ◽  
Yong Li ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Igbt Module ◽  
Heat Spreading

Package Design of High Power IGBT Module for Electric Vehicle

2014 ◽  
Vol 568-570 ◽  
pp. 1227-1231
Author(s):  
Jun Liu ◽  
Peng Zhang ◽  
Xian Zheng Liu ◽  
Hai Long Bao ◽  
Jin Yuan Li ◽  
...  
Keyword(s):  
Epoxy Resin ◽  
Electric Vehicle ◽  
High Power ◽  
Experimental Results ◽  
Control Electrode ◽  
Package Design ◽  
Resin Layer ◽  
Igbt Module

IGBT is the important component of electric vehicle. According to the characteristics of IGBT module in electric vehicle, this article introduces the package design of a high power IGBT module. The feature of the scheme is analyzed from the aspects of power chip, substrate, power electrode, control electrode and epoxy resin layer. Experimental results of the sample show the design meets the qualification.

Heat Transfer of an IGBT Module Integrated With a Vapor Chamber

2011 ◽  
Vol 133 (1) ◽  
Author(s):  
Xiaoling Yu ◽  
Lianghua Zhang ◽  
Enming Zhou ◽  
Quanke Feng
Keyword(s):  
Experimental Data ◽  
Heat Load ◽  
Thermal Modeling ◽  
Copper Plate ◽  
Vapor Chamber ◽  
Transient Time ◽  
Thermal Circuit ◽  
Igbt Modules ◽  
Igbt Module ◽  
Heat Spreading

Presently, many methods are adopted to reduce the junction-to-case thermal resistance (Rjc) of insulated-gate bipolar transistor (IGBT) modules in order to increase their power density. One of these approaches is to enhance the heat spreading capability of the base plate (heat spreader) of an IGBT module using a vapor chamber (VC). In this paper, both experimental measurement and thermal modeling are conducted on a VC-based IGBT module and two copper-plate-based IGBT modules. The experimental data show that Rjc of the VC-based IGBT module decreases substantially with the increase in the heat load of the IGBT. Rjc of the VC-based IGBT module is ∼50% of that of the 3 mm copper-plate-based IGBT module after it saturates at a heat load level of ∼200 W. The transient time of the VC-based IGBT module is also shorter than the copper-plate-based IGBT modules since the VC has higher heat spreading capability. The quicker responses of the VC-based IGBT module to reach its saturated temperature during the start-up can avoid a possible power surge. In the thermal modeling, the vapor is substituted as a solid conductor with extremely high thermal conductivity. Hence, the two-phase flow thermal modeling of the VC is simplified as a one-phase thermal conductive modeling. A thermal circuit model is also built for the VC-based IGBT module. Both the thermal modeling and thermal circuit results match well with the experimental data.

Life Cycle Assessment of Typical Electric Vehicle IGBT Module

2016 ◽  
Vol 847 ◽  
pp. 398-402 ◽  
Author(s):  
Jun Li ◽  
Cheng Wang ◽  
Bo Zhang
Keyword(s):  
Carbon Dioxide ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Electric Vehicle ◽  
Co2 Emission ◽  
Carbon Dioxide Emission ◽  
Raw Material ◽  
Igbt Module ◽  
Carbon Dioxide Co2 ◽  
Whole Life Cycle

Based on Life cycle assessment (LCA) methodology, the carbon dioxide (CO2) emission of producing a typical electric vehicle (EV) IGBT module by the GaBi software has been analyzed. Carbon dioxide emission of each step, including raw material production, frontend, backend and transportation, of the whole life cycle was identified and evaluated. The results show that the CO2 emission of the frontend accounts for 51% of the total emission, and that of the backend accounts for 32.8%.

Adaptive identification methods of nonlinear random electrical signal

2020 ◽  
Vol 64 (1-4) ◽  
pp. 431-438
Author(s):  
Jian Liu ◽  
Lihui Wang ◽  
Zhengqi Tian
Keyword(s):  
Wavelet Transform ◽  
Electric Vehicle ◽  
Signal To Noise Ratio ◽  
Sudden Change ◽  
Electrical Signal ◽  
Signal Recognition ◽  
State Variable ◽  
Signal Characteristics ◽  
The Matrix ◽  
Kalman Filter Algorithm

The nonlinearity of the electric vehicle DC charging equipment and the complexity of the charging environment lead to the complex and changeable DC charging signal of the electric vehicle. It is urgent to study the distortion signal recognition method suitable for the electric vehicle DC charging. Focusing on the characteristics of fundamental and ripple in DC charging signal, the Kalman filter algorithm is used to establish the matrix model, and the state variable method is introduced into the filter algorithm to track the parameter state, and the amplitude and phase of the fundamental waves and each secondary ripple are identified; In view of the time-varying characteristics of the unsteady and abrupt signal in the DC charging signal, the stratification and threshold parameters of the wavelet transform are corrected, and a multi-resolution method is established to identify and separate the unsteady and abrupt signals. Identification method of DC charging distortion signal of electric vehicle based on Kalman/modified wavelet transform is used to decompose and identify the signal characteristics of the whole charging process. Experiment results demonstrate that the algorithm can accurately identify ripple, sudden change and unsteady wave during charging. It has higher signal to noise ratio and lower mean root mean square error.

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