Robust state-of-charge estimation of ultracapacitors for electric vehicles

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015, 2015, pp. 1296 - 1301
Issue Date:
2015-09-28
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© 2015 IEEE. Ultracapacitors (UCs) are an important energy storage technology in automotive and grid applications. They have several advantages, including high power density and extraordinarily long lifespan. Accurate State-of-Charge (SOC) tracking of UCs is critical for the reliability, resilience, and safety in system operation. This paper presents a novel robust H infinity observer in order to realize the SOC estimation of a UC in real time. It is computationally efficient because the observer gain involved in the real-time computation can be readily synthesized offline. In comparison to state-of-the-art Kalman filtering (KF), the developed robust scheme can ensure high estimation accuracy even without prior knowledge of the process and noise measurement statistical properties. More significantly, the H infinity observer proves to be more robust and tolerant to modeling uncertainties arising from the change of operating conditions and/or cell health status. These benefits are experimentally verified.
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