Thermal management and performance evaluation of a dual bi-directional, soft-switched IGBT-based inverter for the 1st autonomous microgrid power system in Taiwan under various operating conditions

Chang, Tien Chan; Fuh, Yiin Kuen; Lu, Hong; Tu, Sheng Xun

doi:10.1007/s00231-015-1628-x

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Their work proposed an efficient thermal management and cooling concept to reduce hot spots by distributing the heat more uniformly inside the inverter's enclosure and quickly removing it out of the system. Chang et al [27] researched a newly developed dual bidirectional IGBT-based inverter combining with autonomous microgrid system with particular attention on thermal management and performance evaluation under various operating conditions, and experimented on locally enhanced heat transfer approach such as oblique orientation and heat dissipating materials. The studied inverter system was initially packaged by a galvanized steel plate sized 62×48×18cm and the switching power was set within the range of 0.5-3kW.…”

Section: Introductionmentioning

confidence: 99%

A Thermal Management Strategy for Inverter System Based on Predictive Control

Zheng-de¹

2023

IJHT

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Temperature fluctuation is the primary reason for gradual failure of IGBT (Insulated Gate Bipolar Transistor) module in inverter system, and overall thermal management is an effective way to smooth temperature fluctuation and prolong the service life of IGBT module. Currently there are a series of problems with the module temperature management method of inverter system, including complicated control method, limited adjustment range, slow response, and poor control accuracy, etc. To cope with these matters, this paper aims to study a thermal management strategy for inverter system. At first, this paper built a model for temperature prediction and control of inverter system based on linear timevarying state space, the model measures system state based on estimation and can calculate the control variables with the mutual effect between different variables taken into consideration but without the necessity of system decoupling. Then, this paper proposed a thermal management strategy for inverter system based on predictive control and optimized it further. At last, the validity of the constructed model and the proposed strategy were verified by experimental results.

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Section: Introductionmentioning

confidence: 99%

A Thermal Management Strategy for Inverter System Based on Predictive Control

Zheng-de¹

2023

IJHT

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“…Currently, the research work aiming at inverter is mainly carried out on the modular design of inverters, IGBT thermal balance analysis, performance evaluation, control strategy of cooler, and inverter fault diagnosis [3][4][5][6][7][8][9]. A newly developed dual bi-directional IGBT-based inverter in conjunction with autonomous microgrid system is investigated with particular focus on the thermal management and performance evaluation under various operation conditions in [10], so the inverter is usually equipped with the ventilation and cooling system. The statistical data presented in [11] shows that almost 60% of failures are caused by temperature cycling.…”

Section: Introductionmentioning

confidence: 99%