Mariam Saeed;Juan Manuel Guerrero;Victor Lopez;David Ortega;Igor Larrazabal;Juan Jose Valera;Ewald Falke;Fernando Briz
{"title":"基于模型的电力变流器风险评估——以铁路车载蓄电池系统为例","authors":"Mariam Saeed;Juan Manuel Guerrero;Victor Lopez;David Ortega;Igor Larrazabal;Juan Jose Valera;Ewald Falke;Fernando Briz","doi":"10.1109/OJIA.2025.3564730","DOIUrl":null,"url":null,"abstract":"On-board energy storage systems for railway traction are becoming a clear trend for many new rail projects, both for retrofit and new designs. This has raised safety and reliability concerns in railway industry given the novelty of the technology. <italic>Reliability analysis</i> is mostly based on detailed modeling of the physics of failure. However, it is thought for system optimization and does not consider catastrophic and human factor failures. On the other hand, <italic>risk assessment</i> studies are widely used for identifying, analyzing and prioritizing all possible modes of failure. However, they are not based on systems models and are not extendable to other converter topologies or battery configurations. To overcome the limitations of the two aforementioned approaches, this article proposes a method for risk assessment based on systems models. The proposed methodology is applied to study the critical risks of using a multilevel converter topology integrating a configuration of two series low-voltage (<inline-formula><tex-math>$< $</tex-math></inline-formula>1 kV) traction batteries to the dc bus of a train. The proposed approach is directly extendable to any converter topology or battery configuration.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"221-236"},"PeriodicalIF":7.9000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10977972","citationCount":"0","resultStr":"{\"title\":\"Model-Based Risk Assessment of Power Converters: Case Study of On-Board Battery System for Railway\",\"authors\":\"Mariam Saeed;Juan Manuel Guerrero;Victor Lopez;David Ortega;Igor Larrazabal;Juan Jose Valera;Ewald Falke;Fernando Briz\",\"doi\":\"10.1109/OJIA.2025.3564730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On-board energy storage systems for railway traction are becoming a clear trend for many new rail projects, both for retrofit and new designs. This has raised safety and reliability concerns in railway industry given the novelty of the technology. <italic>Reliability analysis</i> is mostly based on detailed modeling of the physics of failure. However, it is thought for system optimization and does not consider catastrophic and human factor failures. On the other hand, <italic>risk assessment</i> studies are widely used for identifying, analyzing and prioritizing all possible modes of failure. However, they are not based on systems models and are not extendable to other converter topologies or battery configurations. To overcome the limitations of the two aforementioned approaches, this article proposes a method for risk assessment based on systems models. The proposed methodology is applied to study the critical risks of using a multilevel converter topology integrating a configuration of two series low-voltage (<inline-formula><tex-math>$< $</tex-math></inline-formula>1 kV) traction batteries to the dc bus of a train. The proposed approach is directly extendable to any converter topology or battery configuration.\",\"PeriodicalId\":100629,\"journal\":{\"name\":\"IEEE Open Journal of Industry Applications\",\"volume\":\"6 \",\"pages\":\"221-236\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10977972\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Journal of Industry Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10977972/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Industry Applications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10977972/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Model-Based Risk Assessment of Power Converters: Case Study of On-Board Battery System for Railway
On-board energy storage systems for railway traction are becoming a clear trend for many new rail projects, both for retrofit and new designs. This has raised safety and reliability concerns in railway industry given the novelty of the technology. Reliability analysis is mostly based on detailed modeling of the physics of failure. However, it is thought for system optimization and does not consider catastrophic and human factor failures. On the other hand, risk assessment studies are widely used for identifying, analyzing and prioritizing all possible modes of failure. However, they are not based on systems models and are not extendable to other converter topologies or battery configurations. To overcome the limitations of the two aforementioned approaches, this article proposes a method for risk assessment based on systems models. The proposed methodology is applied to study the critical risks of using a multilevel converter topology integrating a configuration of two series low-voltage ($< $1 kV) traction batteries to the dc bus of a train. The proposed approach is directly extendable to any converter topology or battery configuration.