2017
DOI: 10.1016/j.conengprac.2016.10.004
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Sensorless algorithm for sustaining controllability of IPMSM drive in electric vehicle after resolver fault

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Cited by 26 publications
(12 citation statements)
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“…Any electrical machine is able to work in two directions of energy flow. In the case of traction motors, this means the possibility of generator operation during braking of the vehicle, involving the conversion of vehicle kinetic energy into electrical energy, thereby producing the braking torque (Jarzebowicz et al 2017). This energy was at first dissipated in braking resistors located in the vehicle.…”
Section: Introductionmentioning
confidence: 99%
“…Any electrical machine is able to work in two directions of energy flow. In the case of traction motors, this means the possibility of generator operation during braking of the vehicle, involving the conversion of vehicle kinetic energy into electrical energy, thereby producing the braking torque (Jarzebowicz et al 2017). This energy was at first dissipated in braking resistors located in the vehicle.…”
Section: Introductionmentioning
confidence: 99%
“…The analysis indicates that these effects are caused by the interaction of the initial phases of forward and backward whirling motions [221]. Reference [222] presents a sensorless algorithm designated for the emergency control of an interior PMSM drive. Two topologies for PMSM (1. battery connected directly to inverter and 2. connected through bidirectional converter) are compared, and it has been concluded that high efficiency of PMSM drive can be obtained by using the second topology [223].…”
Section: Permanent Magnet Synchronous Motormentioning
confidence: 99%
“…4, Table 1), whose technical parameters are provided in [15]. The model comprises a continuous model of an electric motor and a discrete controller model describing field-oriented control, which is usual in drive control research [23,24]. The reference model has been thoroughly verified and validated by Jarzebowicz [15,25], indicating a very good representation of real digitally controlled drive behavior.…”
Section: Comparison Of the Modelsmentioning
confidence: 99%