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Item type:Publication, Investigation on Current Ripple and Electromagnetic Interference in High Voltage Powertrain Systems for Electric Vehicles by Using Crosslinked Polyolefin Insulation Shielded Cable(2022-01-01) ;Singhasivanon, Jakawan ;Jirasuwankul, NirudhKiddee, KunagoneAt this moment, the powertrain system of Electric Vehicles (EVs) tends to use high voltages and high currents when the EVs operate at High Power (HP) mode. The Electromagnetic Interference (EMI) is caused by Electromagnetic Field (EF), high voltage, and current ripple. EMI affects EVs, whereas the Shielding Effectiveness (SE), and the proportional inverse of the transfer impedance prevent the effect of EMI. This research aims to investigate the current ripple the EMI in high voltage powertrain systems for EVs by using the developed crosslinked polyolefin insulation shielded cable, 50 mm<sup>2</sup> single-core HP XLPO shielded cable with 0.15 mm annealed tinned-copper wire braid material. The experiment consists of three parts. The first one investigates the tendency of SE and current ripple. The second part shows the analysis of the effect of HP mode to the cable. The third part is an additional study that compares and analyzes the transfer impedance. The results indicate that the cable operates properly in the frequency above 200 Hz, transfer impedance decreasing between 11.5% to 15.25%, induces the SE and reduces the current ripple in the higher frequency range. The results obtained from this research represent a preliminary investigation guideline in decreasing the effect of EMI in EVs by using 50mm<sup>2</sup> single-core HP XLPO shielded cable with 0.15 mm annealed tinned-copper wire braid material in a high-power range. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An HSC/battery energy storage system-based regenerative braking system control mechanism for battery electric vehicles(2019-03-01) ;Kiddee, Kunagone ;Keyoonwong, WiwatKhan-Ngern, WerachetThis paper proposes a novel hybrid energy storage system (HESS) for the regenerative braking system (RBS) of the front-wheel induction motor-driven battery electric vehicle. The HESS is an amalgamation of multiple hybrid supercapacitors (HSCs) and lithium-ion battery cells. An artificial neural network (ANN)-based RBS control mechanism was used to optimize the switching scheme of the RBS's three-phase inverter and the vehicular breaking force distribution. In the regenerative braking mode, the ANN-based HSC/battery RBS transferred the braking energy to be stored in the HSC and, upon reaching the HSC's maximum safety threshold, then to the battery. In addition, the RBS control mechanism could achieve uniform braking force distribution between the front and rear wheels of the vehicle. Furthermore, our findings revealed that the experimental HSC/battery RBS program enhanced the harvesting of the regenerative braking energy, as was evident from the longer driving distance vis-à-vis that of the battery-only vehicle. The HSC/battery RBS also contributed to improved vehicle acceleration and an extended battery life. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance evaluation of regenerative braking system based on a HESS in extended range BEV(2018-09-01) ;Kiddee, KunagoneKhan-Ngern, WerachetThis paper proposed a regenerative braking system (RBS) strategy for battery electric vehicles (BEVs) with a hybrid energy storage system (HESS) driven by a brushless DC (BLDC) motor. In the regenerative braking mode of BEV, the BLDC motor works as a generator. Consequently, the DC-link voltage is boosted and regenerative braking energy is transferred to a battery and/or ultracapacitor (UC) using a suitable switching pattern of the three-phase inverter. The energy stored in the HESS through reverse current flow can be exploited to improve acceleration and maintain the batteries from frequent deep discharging during high power mode. In addition, the artificial neural network (ANN)-based RBS control mechanism was utilized to optimize the switching scheme of the vehicular breaking force distribution. Furthermore, constant torque braking can be regulated using a PI controller. Different simulation and experiments were implemented and carried out to verify the performance of the proposed RBS strategy. The UC/battery RBS also contributed to improved vehicle acceleration and extended range BEVs. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Extraction of mobility degradation, effective channel length and total series resistance of NMOS at elevated temperature(2011-08-12) ;Kiddee, Kunagone ;Ruangphanit, Anucha ;Niemcharoen, Surasak ;Atiwongsangthong, NarinMuanghlua, RangsonThis article describes the extraction of total series resistance, effective channel length and low field effective channel mobility degradation parameter at temperature in the range of 25°C-125°C of NMOS device. The relation of I<inf>DS</inf> and V<inf>GS</inf> in a linear region was used with a different of channel length. The procedure is based on the measurement of the transconductance characteristics of MOSFET in the linear region. The transconductance characteristics is determine for the several devices of difference drawn channel length. The results shows that, the effective channel length is increased in a range of 5×10<sup>-10</sup> m/°C. The low field mobility degradation parameter is decreased by the factor of 0.733. The total series resistance is increased in the range of 1.4 Ω-μm/°C. The errors between the predicted model and measured of I<inf>DS</inf>&V <inf>GS</inf> in linear region is approximately 3%. © 2011 IEEE.
