A Performance Study for Two Current Sensor Free Single-Cell Maximum Power Point Tracking Methods for High Performance Vehicle Solar Arrays
MetadataShow full item record
Wolfs, Peter and Li, Q. 2006. A Performance Study for Two Current Sensor Free Single-Cell Maximum Power Point Tracking Methods for High Performance Vehicle Solar Arrays, in Kalam, A. (ed), Australasian Universities Power Engineering Conference AUPEC 2006, Dec 10 2006. Melbourne Victoria: Victoria University.
Australasian Universities Power Engineering Conference
Australasian Universities Power Engineering Conference AUPEC 2006
Department of Electrical and Computer Engineering
School of Engineering
Faculty of Science and Engineering
Two Maximum Power Point Tracking (MPPT) control algorithms have been previously developed for the single high performance dual junction or triple junction solar cells for hybrid and electric vehicle applications. These algorithms are respectively based on the Perturb and Observe (P&O) and the Incremental Conductance (IncCond) methods but remove the need for current sensing devices. This paper provides a comparison of the two MPPT control algorithms and a detailed performance evaluation of the two algorithms under both static and dynamic tests. The Incremental Conduction algorithm achieved slightly better results and static tracking accuracy of 99% .
Showing items related by title, author, creator and subject.
Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithmsSrar, Jalal Abdulsayed (2011)In recent years, adaptive or smart antennas have become a key component for various wireless applications, such as radar, sonar and cellular mobile communications including worldwide interoperability for microwave ...
Chong, Yen N. (2001)General routing problems deal with transporting some commodities and/or travelling along the axes of a given network in some optimal manner. In the modern world such problems arise in several contexts such as distribution ...
Rana, Santu (2010)Machine based face recognition is an important area of research that has attracted significant attention over the past few decades. Recently, multilinear models of face images have gained prominence as an alternative ...