Electric Vehicle Relay Lifetime Prediction Model Using the Improving Fireworks Algorithm–Grey Neural Network Model
| Autor: | Hengyi Li, Kaihua Liu, Xuelian Pang, Ming-Lang Tseng, Zhuo Li, Kimhua Tan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
grey neural network
business.product_category Mean squared error Computer science 020209 energy Reliability (computer networking) Fireworks relay lifetime prediction 02 engineering and technology lcsh:Technology law.invention lcsh:Chemistry fireworks algorithm Relay law Convergence (routing) Electric vehicle 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:QH301-705.5 Instrumentation Fluid Flow and Transfer Processes improved fireworks algorithm Artificial neural network lcsh:T Process Chemistry and Technology General Engineering Function (mathematics) lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 020201 artificial intelligence & image processing lcsh:Engineering (General). Civil engineering (General) business Algorithm lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 10, Iss 6, p 1940 (2020) Applied Sciences Volume 10 Issue 6 |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app10061940 |
| Popis: | The relay reliability has an impact on the reliability of the entire electric vehicle system. This paper contributes to propose the improving fireworks algorithm optimizing the grey neural network model to predict the relay lifetime. This paper shows how the mutation operation and mapping operation in the fireworks algorithm are used to improve the convergence ability and running speed the convergence performance and running speed of improved fireworks algorithm are tested with standard test function and compared with fireworks algorithm and the grey neural network model&ndash improved fireworks algorithm is used to predict the relay life and compared with grey model, grey neural network, and grey neural network model&ndash fireworks algorithm. The results show that the convergence accuracy of the improved fireworks algorithm is better than the fireworks algorithm. The running time of improved fireworks algorithm is the shortest the improved fireworks algorithm&ndash grey neural network model has the best prediction effect and the root mean square error value is 6.75% smaller than the fireworks algorithm&ndash grey neural network model. |
| Databáze: | OpenAIRE |
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