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Miao, Zhibin; Zhang, Hongtian (2015)
Publisher: Multidisciplinary Digital Publishing Institute
Journal: Algorithms
Languages: English
Types: Article
Subjects: data fusion, vehicle stability, Electronic computers. Computer science, T55.4-60.8, Kalman algorithm, hybrid vehicle, QA75.5-76.95, Industrial engineering. Management engineering
Identifiers:doi:10.3390/a8030632
More and more hybrid electric vehicles are driven since they offer such advantages as energy savings and better active safety performance. Hybrid vehicles have two or more power driving systems and frequently switch working condition, so controlling stability is very important. In this work, a two-stage Kalman algorithm method is used to fuse data in hybrid vehicle stability testing. First, the RT3102 navigation system and Dewetron system are introduced. Second, a modeling of data fusion is proposed based on the Kalman filter. Then, this modeling is simulated and tested on a sample vehicle, using Carsim and Simulink software to test the results. The results showed the merits of this modeling.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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