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Journal of Sensors
Volume 2017, Article ID 9643279, 12 pages
https://doi.org/10.1155/2017/9643279
Research Article

A Model-Based Virtual Sensor for Condition Monitoring of Li-Ion Batteries in Cyber-Physical Vehicle Systems

1Computer Science Department, Universidad de Oviedo, Oviedo, Spain
2Statistics Department, Universidad de Oviedo, Oviedo, Spain
3Electrical Engineering Department, Universidad de Oviedo, Oviedo, Spain

Correspondence should be addressed to Luciano Sánchez; se.ivoinu@onaicul

Received 7 March 2017; Accepted 27 August 2017; Published 12 October 2017

Academic Editor: Qing Tan

Copyright © 2017 Luciano Sánchez et al. 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Luciano Sánchez, David Anseán, José Otero, and Inés Couso, “Assessing the Health of LiFePO4 Traction Batteries through Monotonic Echo State Networks,” Sensors, vol. 18, no. 1, pp. 9, 2017. View at Publisher · View at Google Scholar
  • Xiaoliang Meng, Feng Wang, Yichun Xie, Guoqiang Song, Shifa Ma, Shiyuan Hu, Junming Bai, and Yiming Yang, “An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web,” Sensors, vol. 18, no. 11, pp. 3619, 2018. View at Publisher · View at Google Scholar