Improved High-Frequency Voltage Injection Based Permanent Magnet Temperature Estimation for PMSM Condition Monitoring for EV Applications

Guo, Feng; Lai, Chunyan; Iyer, K. Lakshmi Varaha; Kar, Narayan C.

doi:10.1109/tvt.2017.2778429

Cited by 49 publications

(18 citation statements)

References 33 publications

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“…5. For existing HF signal injection methods that do not use the current controller, such as the ones in [22] and [29]. They may not be able to provide the desired dc voltage for a specific dc current level in a given motor.…”

Section: B Design Of Current-controller-free D Q-axis Incremental Imentioning

confidence: 99%

“…Compared with methods in this paper, it should be noted that method in [22] requires inverter nonlinearity compensation, and this is achieved by method in [31], and motor #1 is used for the test. The Δuerror is defined by (29), and its value with the increase of id under θe = 0° is shown in Fig. 11.…”

Section: Current-controller-free D Q-axis Incremental Inductancesmentioning

confidence: 99%

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Current-Controller-Free Self-Commissioning Scheme for Deadbeat Predictive Control in Parametric Uncertain SPMSM

et al. 2021

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Section: B Design Of Current-controller-free D Q-axis Incremental Imentioning

confidence: 99%

Section: Current-controller-free D Q-axis Incremental Inductancesmentioning

confidence: 99%

Current-Controller-Free Self-Commissioning Scheme for Deadbeat Predictive Control in Parametric Uncertain SPMSM

et al. 2021

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“…The PMSM is a preferred option in comparison with other motors for propulsion systems due to its high-power density, high efficiency, and simple structure [118][119][120][121][122]. PMSMs can be categorized into two types: interior permanent magnet synchronous motor (IPMSM) and surface mounted permanent magnet synchronous motor (SM-PMSM).…”

Section: Permanent Magnet Synchronous Motor (Pmsm)mentioning

confidence: 99%

Technology Development of Electric Vehicles: A Review

et al. 2019

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To reduce the dependence on oil and environmental pollution, the development of electric vehicles has been accelerated in many countries. The implementation of EVs, especially battery electric vehicles, is considered a solution to the energy crisis and environmental issues. This paper provides a comprehensive review of the technical development of EVs and emerging technologies for their future application. Key technologies regarding batteries, charging technology, electric motors and control, and charging infrastructure of EVs are summarized. This paper also highlights the technical challenges and emerging technologies for the improvement of efficiency, reliability, and safety of EVs in the coming stages as another contribution.

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“…The sensorless control of three-phase (3 ) motor drives has been extensively discussed in the literature, and it falls into two categories: the fundamental model-based method and the saliency tracking-based method [9], [10]. Of these, the former method usually utilizes the back Electromotive Force (EMF) observer or flux linkage observer for the estimation of the rotor position.…”

Section: Introductionmentioning

confidence: 99%

“…However, at low speeds, the back EMFs are too small to observe and thus these methods usually fail. At low speeds, the saliency tracking-based method appears as an alternative solution without recourse to the machine model [10]. This method is realized by continuously superimposing a high frequency (HF) signal upon the fundamental voltage or current, hence even in the absence of fundamental currents, the rotor position can still be recognized by using HF signals.…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

Tian

Molinas

2019

IEEE Access

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This paper investigates the sensorless control of a general Five-phase permanent magnet brushless DC (5-BLDC) motor working at the low speeds. High frequency (HF) injection-based sensorless control is most popular, however, the system delay and stator resistance could deteriorate the sensorless control performance. In this paper, an HF model of 5 BLDCs at frequency-domain is primarily established as a replacement over the conventional static model, and an interpretation from the sinusoidal internal model is carried out to direct the sensorless control implementation. Accordingly, the measured d-axis HF current, which is typically neglected in the conventional method, is reused to demodulate the position angular information from the measured q-axis HF current. The proposed sensorless control is performed on a 5 BLDC drive, and experimental results confirm the effectiveness of this method while comparing its performance with the conventional method. INDEX TERMS Sinusoidal internal model, high-frequency injection, five-phase BLDC motor, sensorless control.

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Improved High-Frequency Voltage Injection Based Permanent Magnet Temperature Estimation for PMSM Condition Monitoring for EV Applications

Cited by 49 publications

References 33 publications

Current-Controller-Free Self-Commissioning Scheme for Deadbeat Predictive Control in Parametric Uncertain SPMSM

Current-Controller-Free Self-Commissioning Scheme for Deadbeat Predictive Control in Parametric Uncertain SPMSM

Technology Development of Electric Vehicles: A Review

High-Frequency Injection-Based Sensorless Control for a General Five-Phase BLDC Motor Incorporating System Delay and Phase Resistance

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