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Journal of Sensors
Volume 2017, Article ID 9643279, 12 pages
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.


A model-based virtual sensor for assessing the health of rechargeable batteries for cyber-physical vehicle systems (CPVSs) is presented that can exploit coarse data streamed from on-vehicle sensors of current, voltage, and temperature. First-principle-based models are combined with knowledge acquired from data in a semiphysical arrangement. The dynamic behaviour of the battery is embodied in the parametric definition of a set of differential equations, and fuzzy knowledge bases are embedded as nonlinear blocks in these equations, providing a human understandable reading of the State of Health of the CPVS that can be easily integrated in the fleet through-life management.