Online Short-Circuit Protection Strategy of an Electric Powerpack for Electric Oil Pump Applications

• Published in: IEEE access Vol. 9; pp. 52292 - 52309
• Main Authors: Noh, Youngwoo, Kim, Wonkyu, Lee, Ju
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Automotive electric powerpack; Automotive parts; Circuit design; Circuit faults; Circuit protection; Circuits; diagnosis; electric oil pump; Electrification; Electronic components; Electronic control; Fault detection; gate drive circuit; junction temperature; Logic gates; Miniaturization; Monitoring; MOSFET; Oils; Operating temperature; optimal fault threshold; Short circuit currents; short-circuit current waveform; short-circuit protection; Switching circuits; Waveforms
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2021.3069454

With the trend towards the miniaturisation and electrification of automotive components, the electric oil pump (EOP) is generally designed as an integrated powerpack in which a motor and an electronic control unit (ECU) are combined into an integrated system, with the electronic components of the ECU exposed to harsher temperature environments. The critical weakness of the traditional design is short-circuit failures, and the most common protection method is <inline-formula> <tex-math notation="LaTeX">V_{ds} </tex-math></inline-formula> monitoring. However, this method cannot predict the accurate protection current, indicating that the fault detection level and short-circuit current (SCC) may change depending on the operating temperature and load condition to which the devices are subject. In this case, switching devices can be destroyed or deteriorated if they are unexpectedly placed outside of the protection range. This study proposes an online short-circuit protection method in which the optimal fault threshold can be controlled in real time, in accordance with changes in temperature and load conditions. To this end, this study investigates the cause of fluctuations in SCC and analyses the protection range and qualification time for SCC through worst-case analysis. To determine the optimal fault threshold, the SCC waveform is estimated through circuit analysis and a method of estimating <inline-formula> <tex-math notation="LaTeX">R_{dson}(T_{j}) </tex-math></inline-formula>, which is the cause of SCC fluctuation, is proposed based on simulation and experimental data. Finally, according to <inline-formula> <tex-math notation="LaTeX">R_{dson}(T_{j}) </tex-math></inline-formula>, optimal thresholds are derived and the proposed methods are experimentally-verified. It is found that the SCC could be predicted and managed within the protection range by the proposed new protection method.