Joule counting correction for electric vehicles using artificial neural networks

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2014, Pages 298-305

  Taylor, Michael D ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84908212085     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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4. Meissner, E., and Richter, G. 2003. Battery Monitoring and Electrical Energy Management. Journal of Power Sources 116(1-2):79-98.
5. Ng, K. S.; Moo, C.-S.; Chen, Y.-P.; and Hsieh, Y.-C. 2009. Enhanced coulomb counting method for estimating state-of- charge and state-of-health of lithium-ion batteries. Applied Energy 86(9): 1506-1511.
6. Qingsheng, S., and Chenghui, Z. 2010. Battery State-Of- Charge estimation in Electric Vehicle using Elman neural network method. ... (CCC), 2010 29th... 5999-6003.
7. Rui-hao, L.; Yu-kun, S.; and Xiao-fu, J. 2011. Battery state of charge estimation for electric vehicle based on neural network. 2011 IEEE 3rd International Conference on Communication Software and Networks 493-496.
8. Shen, W., and Chau, K. 2005. Neural network-based residual capacity indicator for nickel-metal hydride batteries in electric vehicles. ..., IEEE Transactions on 54(5): 1705- 1712.