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Permanent-magnet flux-switching (PMFS) machine offers high torque density, impressive flux-weakening capability and mechanical ruggedness because of its distinctive configuration, and is potentially suitable for the application in automotive integrated-starter-generators (ISGs). However, the PMFS machine generally exhibits higher cogging torque compared with other machines commonly used in ISGs. Minimisation of the cogging torque in the PMFS machine for its utility in ISGs is therefore of particular importance. Four rotor topologies are proposed here as cost-effective means to suppress the cogging torque of a PMFS ISG. The validity of the proposed techniques has been confirmed by both two-dimensional finite-element analysis and experimental results. Moreover, the influence on the back electromagnetic force by these techniques is also investigated. [ABSTRACT FROM AUTHOR]

With advances in wireless communications and global position system-enabled devices (such as cellular phones, PDAs and car PCs), vehicle route guidance systems gradually become indispensable equipments for more and more automobile drivers because of its great convenience. Conventional route guidance systems are designed to direct a vehicle along the shortest path from the origin to the destination. However, usually, the shortest path does not result in the smallest travel time because of the dynamic traffic conditions on roadways. Therefore the state-of-the-art route guidance systems incorporate real-time traffic information to find better paths. There are two types of approaches to collecting real-time traffic information: infrastructure-based approach and infrastructure-free approach. The authors adopt infrastructure-free approach to develop a real-time route guidance algorithm, called V2R2 (Vehicle-to-Vehicle Real-time Routing). Our simulation results showed that V2R2 algorithm can effectively find better paths with less travel time than the shortest path. In addition, it can bypass void areas (i.e. the areas containing empty roads) when collecting real-time traffic information. The simulation results validate the efficiency and robustness of the proposed V2R2 algorithm. [ABSTRACT FROM AUTHOR]

A two-step factorised sparse approximation inverse and symmetric successive over relaxation preconditioned conjugate gradient (CG) algorithm is proposed to solve the large system of linear equations resulted from the hierarchical implicit time-domain finite-element method (TDFEM). Convergence properties and CPU time of the proposed algorithm are compared with those of other preconditioned CG schemes. Numerical results demonstrate that the present approach is efficient for solving the large sparse system from hierarchical implicit TDFEM. [ABSTRACT FROM AUTHOR]