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Evidence Theory Based Automotive Battery Health Monitoring
Journal Article
2010-01-0251
ISSN: 1946-4614, e-ISSN: 1946-4622
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
- 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
- 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
- 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
- Aiqun Chen “Application of the Information Fusion Based on Evidence Theory in Urban Development” International Symposium on Remote Sensing of Environment 2005
- Olson, W.W. He, D. “The Detection and Interdiction of Potential Catastrophes,” SAE Technical Paper 2004-01-1144 2004
- Soundappan, P. Nikolaidis, E. “Evidence Theory Approach and Bayesian Approach for Modeling Uncertainty when Information is Imprecise,” SAE Technical Paper 2003-01-0144 2003
- Mourelatos, Z.P. Zhou, J. “Design Optimization Under Uncertainty Using Evidence Theory,” SAE Technical Paper 2006-01-0388 2006
- 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