2019 IEEE Transportation Electrification Conference and Expo (ITEC) 2019
DOI: 10.1109/itec.2019.8790561
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Inverter Voltage Drop Characterisation Considering Junction Temperature Effects

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Cited by 3 publications
(6 citation statements)
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“…These methods are generally more intricate as they involve real-time estimation of the voltage drop, necessitating intensive computational processes (methods such as those described in [18], which employ online optimization algorithms that require significant processing power). In addition to online methods, some studies propose the self-commissioning characterization of the inverter during startup or when the motor is at a standstill [19][20][21][22]. In these works, the non-linearities of the inverter are estimated and stored in Look-Up-Tables (LUT) for subsequent compensation in the abc-reference frame.…”
Section: Introductionmentioning
confidence: 99%
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“…These methods are generally more intricate as they involve real-time estimation of the voltage drop, necessitating intensive computational processes (methods such as those described in [18], which employ online optimization algorithms that require significant processing power). In addition to online methods, some studies propose the self-commissioning characterization of the inverter during startup or when the motor is at a standstill [19][20][21][22]. In these works, the non-linearities of the inverter are estimated and stored in Look-Up-Tables (LUT) for subsequent compensation in the abc-reference frame.…”
Section: Introductionmentioning
confidence: 99%
“…Although the above works target motor drive applications, they do not consider lowend sensorless applications under dynamic conditions. Furthermore, achieving complete compensation of the inverter voltage drop is challenging due to nonlinearities such as parasitic capacitances [15], temperature variations [19], DC-link voltage variations, and so on. Therefore, as shown in this work, direct compensation at the abc-reference frame in low-end sensorless applications may be inadequate, resulting in suboptimal performance at low speeds due to insufficient compensation during dynamic conditions.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…These methods are generally more intricate as they involve real-time estimation of the voltage drop, necessitating intensive computational processes. In addition to the online methods, some studies propose the selfcommissioning characterization of the inverter during startup or when the motor is at a standstill [18][19][20]. In these works, the non-linearities of the inverter are estimated and stored in Look-Up-Tables (LUT) for subsequent compensation in the abc-reference frame.…”
Section: Introductionmentioning
confidence: 99%
“…Although the above works target motor-drive applications, they do not consider low-end sensorless applications under dynamic conditions. Furthermore, achieving complete compensation of the inverter voltage drop is challenging due to nonlinearities like parasitic capacitances [15], temperature variations [18], DC-link voltage variations and so on. Therefore, as will be shown in this work, in low-end sensorless applications the direct compensation at abc-reference frame might prove inadequate, resulting in suboptimal performance at low speeds because of the insufficient compensation during dynamic conditions.…”
Section: Introductionmentioning
confidence: 99%