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Evidence Theory Based Automotive Battery Health Monitoring

Journal Article
2010-01-0251
ISSN: 1946-4614, e-ISSN: 1946-4622
Published April 12, 2010 by SAE International in United States
Evidence Theory Based Automotive Battery Health Monitoring
Sector:
Citation: Shin, K. and Salman, M., "Evidence Theory Based Automotive Battery Health Monitoring," SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 3(1):10-16, 2010, https://doi.org/10.4271/2010-01-0251.
Language: English

References

  1. Zhang X. Grube R. Shin K. Salman M. “Automotive Battery State-Of-Health Monitoring: A Battery Cranking Voltage Based Approach” the 2008 Integrated System Health Management Conference Covington, KY August 11-14
  2. Zhang X. Grube R. Shin K. Salman M. Conell R. “Automotive Battery State-Of-Health Monitoring: A Parity Relation Based Approach” the 2009 IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes Barcelona, Spain July 2009
  3. Zhang X. Grube R. Shin K. Salman M. Conell R. “Automotive Battery State-Of-Health Monitoring: A Comparative Studies” the 2009 Integrated System Health Management Conference Covington, KY August 10-13
  4. Aiqun Chen “Application of the Information Fusion Based on Evidence Theory in Urban Development” International Symposium on Remote Sensing of Environment 2005
  5. Olson, W.W. He, D. “The Detection and Interdiction of Potential Catastrophes,” SAE Technical Paper 2004-01-1144 2004
  6. Soundappan, P. Nikolaidis, E. “Evidence Theory Approach and Bayesian Approach for Modeling Uncertainty when Information is Imprecise,” SAE Technical Paper 2003-01-0144 2003
  7. Mourelatos, Z.P. Zhou, J. “Design Optimization Under Uncertainty Using Evidence Theory,” SAE Technical Paper 2006-01-0388 2006
  8. Bae, H.-R. Grandhi, R.V. Canfield, R.A. “Structural Design Optimization Based on Reliability Analysis Using Evidence Theory,” SAE Technical Paper 2003-01-0877 2003

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