Research output per year
Research output per year
Wenli Shi, Jianning Dong, Thiago Batista Soeiro, Calvin Riekerk, Francesca Grazian, Guangyao Yu, Pavol Bauer
Research output: Contribution to journal › Article › Scientific › peer-review
Due to the urgent desire for a fast, convenient, and efficient battery charging technology for electric vehicle (EV) users, extensive research has been conducted into the design of high-power inductive power transfer (IPT) systems. However, there are few studies that formulate the design as a multiobjective optimization (MOO) research question considering both the aligned and misaligned performances and validate the optimal results in a full-scale prototype. This article presents a comprehensive MOO design guideline for highly efficient IPT systems and demonstrates it by a highly efficient 20-kW IPT system with the dc-dc efficiency of 97.2% at the aligned condition and 94.1% at 150-mm lateral misalignment. This achievement is a leading power conversion efficiency metric compared to IPT EV charging systems disseminated in today's literature. Herein, a general analytical method is proposed to compare the performances of different compensation circuits in terms of the maximum efficiency, voltage/current stresses, and misalignment tolerance. An MOO method is proposed to find the optimal design of the charging pads, taking the aligned/misaligned efficiency and area/gravimetric power density as the objectives. Finally, a prototype is built according to the MOO results. The charging pad dimension and total weight, including the housing material, are 516∗552∗60 mm3/25 kg for the transmitter and 514∗562∗60 mm3/21 kg for the receiver. Correspondingly, the gravimetric, volumetric, and area power density are 0.435 kW/kg, 581 kW/m3, and 69.1 kW/m2, respectively. The measured efficiency agrees with the anticipated value derived from the given analytical models.
Original language | English |
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Pages (from-to) | 2384-2399 |
Number of pages | 16 |
Journal | IEEE Transactions on Transportation Electrification |
Volume | 8 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2022 |
Research output: Thesis › Dissertation (TU Delft)
Bauer, P., Qin, Z., Dong, J., Batista Soeiro, T., Wang, L. & Riekerk, C.
1/04/20 → 31/03/23
Project: Research