A. Anuchin, D. Aliamkin, M. Lashkevich, D. Shpak, A. Zharkov, F. Briz
{"title":"Minimization and redistribution of switching losses using predictive PWM strategy in a voltage source inverter","authors":"A. Anuchin, D. Aliamkin, M. Lashkevich, D. Shpak, A. Zharkov, F. Briz","doi":"10.1109/IWED.2018.8321375","DOIUrl":null,"url":null,"abstract":"This paper considers a PWM strategy with minimization of switching losses and their redistribution between the modules of the power converter. The strategy combines method of switching losses minimization by choosing the most efficient discontinuous PWM pattern and an active thermal control of the hottest IGBT module in the system. The algorithm predicts the total losses in the system for different PWM patterns and losses in the hottest IGBT module. The cost function takes into account both values. The provided simulation results display the decrease of maximum temperature in the system, while the total losses slightly increase.","PeriodicalId":132863,"journal":{"name":"2018 25th International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWED.2018.8321375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper considers a PWM strategy with minimization of switching losses and their redistribution between the modules of the power converter. The strategy combines method of switching losses minimization by choosing the most efficient discontinuous PWM pattern and an active thermal control of the hottest IGBT module in the system. The algorithm predicts the total losses in the system for different PWM patterns and losses in the hottest IGBT module. The cost function takes into account both values. The provided simulation results display the decrease of maximum temperature in the system, while the total losses slightly increase.