Next Article in Journal
Local Convergence of an Optimal Eighth Order Method under Weak Conditions
Next Article in Special Issue
Code Synchronization Algorithm Based on Segment Correlation in Spread Spectrum Communication
Previous Article in Journal
One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
Previous Article in Special Issue
Target Detection Algorithm Based on Two Layers Human Visual System
Article Menu

Export Article

Open AccessArticle
Algorithms 2015, 8(3), 632-644; doi:10.3390/a8030632

Data Fusion Modeling for an RT3102 and Dewetron System Application in Hybrid Vehicle Stability Testing

1,2,†,* and 1,2,†
College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
Heilongjiang Institute of Technology, Harbin 150050, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Jun-Bao Li
Received: 12 June 2015 / Accepted: 7 August 2015 / Published: 12 August 2015
(This article belongs to the Special Issue Machine Learning Algorithms for Big Data)
View Full-Text   |   Download PDF [1643 KB, uploaded 14 August 2015]   |  


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. View Full-Text
Keywords: data fusion; Kalman algorithm; vehicle stability; hybrid vehicle data fusion; Kalman algorithm; vehicle stability; hybrid vehicle

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Miao, Z.; Zhang, H. Data Fusion Modeling for an RT3102 and Dewetron System Application in Hybrid Vehicle Stability Testing. Algorithms 2015, 8, 632-644.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top