2017
DOI: 10.1109/tia.2016.2619670
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Qualification of Hairpin Motors Insulation for Automotive Applications

Abstract: This paper is focused on the reliability evaluation of an electric vehicle (EV) motor based on hairpin technology. Besides bearings (not discussed here), the weak point of an electric motor is its insulating system. For inverter-fed motors, the inception of partial discharges might lead to failure in a matter of days, and thus, deserves particular attention. Qualification and lifetime evaluation of inverter-fed machines are described in IEC 60034-18-41, which specifies accelerated aging procedures and consider… Show more

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Cited by 52 publications
(34 citation statements)
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“…Reference [54] studies the lifetime of electric vehicle motors. When the supply voltage is below the PDIV, the degradation rate associated with partial discharge electrical stress can be neglected.…”
Section: A Scope Of Mechanisms Stresses and Aging Of The Insulationmentioning
confidence: 99%
See 2 more Smart Citations
“…Reference [54] studies the lifetime of electric vehicle motors. When the supply voltage is below the PDIV, the degradation rate associated with partial discharge electrical stress can be neglected.…”
Section: A Scope Of Mechanisms Stresses and Aging Of The Insulationmentioning
confidence: 99%
“…Temperature cycling, high temperature and mechanical stress are then the primary causes of aging. Reference [54] suggests that the inverter fed machines should be separated in relevant standards to those that are partial discharge free by design and others that would be liable to become sites of partial discharge activity after a sufficiently long operation time. Such a separation could reduce end user cost in inverter-fed machine qualification.…”
Section: A Scope Of Mechanisms Stresses and Aging Of The Insulationmentioning
confidence: 99%
See 1 more Smart Citation
“…To determine the thermal class (or temperature index) of the insulation system, technical standards are available and suggest methodologies for the thermal qualification of the insulation system. This allows for quite accurate estimations of the thermal lifetime at various operating temperatures [16], however, these qualification strategies require extensive testing, which is long-lasting and can endure up to thousands of hours [17]. This paper proposes a neural network to predict the trend of the insulation resistance under thermal aging that estimates the time-to-failure of each specimen at considered aging temperatures.…”
Section: Introductionmentioning
confidence: 99%
“…• during the surge flanks, the overvoltage can reach values between 2-3 times the DC bus voltage [2]- [4]; • the large slew rates support high turn voltages, even using stators manufactured through the hairpin technology [5], [6];…”
Section: Introductionmentioning
confidence: 99%