Restricted accessResearch articleFirst published online 2026
Multidisciplinary design optimization of wireless power transfer system based on marine predators algorithm with tent map and quasi-oppositional solution
Wireless Power Transfer (WPT) systems have garnered increasing attention with the rapid advancement of Electric Vehicles (EVs). However, the design optimization of the WPT system remains a significant challenge due to the inherent multidisciplinary complexity. The core of the WPT system is the Magnetic Coupling Mechanism (MCM), which plays a critical role in energy transmission. To enhance the overall WPT system performance, this paper proposes an improved Marine Predators Algorithm (MPA), integrated with the Tent map and Quasi-oppositional learning strategy (TQMPA), to achieve the efficient optimization of the MCM. A comprehensive analytical model of the MCM using double-D coils is developed, and relevant performance evaluation metrics for the WPT system are systematically derived. Benchmark testing on 20 standard functions indicates that TQMPA converges faster and escapes local optima more effectively. These improvements are especially prominent in low-dimensional unimodal optimization problems. On this basis, a multidisciplinary design optimization framework is formulated based on the collaborative optimization strategy, incorporating key subsystems including transmission performance, electromagnetic safety, and structural compactness. Simulation results confirm the superior optimization performance of TQMPA over the original MPA. While maintaining electromagnetic safety and offset tolerance, the proposed method achieves a notable 53.27% improvement in the transmission efficiency and a significant 49.23% reduction in the ferrite volume, which can offer valuable insights for future intelligent optimization in complex WPT system design.
YaoJYeJPanG, et al. Relay selection schemes in threshold DF cooperative systems with wireless power transfer. J Franklin Inst2020; 357: 5091–5109. https://doi.org/10.1016/j.jfranklin.2020.04.005
3.
MohamedAShaierAMetwallyH, et al. Wireless charging technologies for electric vehicles: inductive, capacitive, and magnetic gear. IET Power Electron2024; 17: 3139–3165. https://doi.org/10.1049/pel2.12624
4.
DaiZPengWTangY, et al. Design of magnetic coupling mechanism with different primary and secondary coils for maximum output power. J Electromagn Eng Sci2024; 24: 305–317. https://doi.org/10.26866/jees.2024.3.r.231
5.
LiaoZWuFJiangC, et al. Analysis and design of ideal transformer-like magnetic coupling wireless power transfer systems. IEEE Trans Power Electron2022; 37: 15728–15739. https://doi.org/10.1109/TPEL.2022.3191941
6.
WangHChenJYuanX, et al. Parameter sensitivity analysis and efficiency optimization design of wireless charging system. Int J Appl Electromagn Mech2023; 72: 69–86. https://doi.org/10.3233/JAE-220084
7.
TharmarSKumarRNarayanK, et al. Four element CSRR loaded antenna for dual band applications. In: 2023 fifth international conference on electrical, computer and communication technologies, Erode, India, 22–24 February 2023, pp. 1–4. IEEE. https://doi.org/10.1109/ICECCT56650.2023.10179680
8.
KodeeswaranSNandhini GayathriMSanjeevikumarP, et al. High-power converters and challenges in electric vehicle wireless charging – a review. IETE J Res2023; 70: 3167–3186. https://doi.org/10.1080/03772063.2023.2186958
9.
LiJZhangLWuX, et al. A two-stage optimization method of high-power DWPT system for electric vehicle. IEEE Trans Compon Packag Manuf Technol2024; 14: 183–193. https://doi.org/10.1109/TCPMT.2024.3358382
10.
ProsenNDomajnkoJ.Optimization of a circular planar spiral wireless power transfer coil using a genetic algorithm. Electronics2024; 13: 978. https://doi.org/10.3390/electronics13050978
11.
Siva PrasadKNagarajuSChiranjeeva RaoS, et al. Experimental investigation on dynamic wireless charging system for electric vehicles using different shape coils. Energy Sour Part A Recovery Util Environ Effects2024; 47: 593–606. https://doi.org/10.1080/15567036.2024.2443946
12.
PanWLiuCTangH, et al. An interoperable electric vehicle wireless charging system based on mutually spliced double-D coil. IEEE Trans Power Electron2024; 39: 3864–3872. https://doi.org/10.1109/TPEL.2023.3344663
13.
ChakibandaVKomanapalliV.Core structure optimization in double-D coil with enhanced performance for inductive wireless power transfer system. IEEE Access2024; 12: 135489–135505. https://doi.org/10.1109/ACCESS.2024.3462588
14.
BudhiaMBoysJCovicG, et al. Development of a single-sided flux magnetic coupler for electric vehicle IPT charging systems. IEEE Trans Ind Electron2013; 60: 318–328. https://doi.org/10.1109/TIE.2011.2179274
15.
YangYCuiJCuiX.Design and analysis of magnetic coils for optimizing the coupling coefficient in an electric vehicle wireless power transfer system. Energies2020; 13: 4143. https://doi.org/10.3390/en13164143
16.
ChoiSHuhJLeeW, et al. Asymmetric coil sets for wireless stationary EV chargers with large lateral tolerance by dominant field analysis. IEEE Trans Power Electron2014; 29: 6406–6420. https://doi.org/10.1109/TPEL.2014.2305172
17.
DaiZWangJLiY, et al. Optimal design of magnetic coupling wireless power supply system for monitoring equipment. IEEE Access2018; 6: 58600–58608. https://doi.org/10.1109/ACCESS.2018.2871959
18.
KimHSongCKimD, et al. Coil design and measurements of automotive magnetic resonant wireless charging system for high-efficiency and low magnetic field leakage. IEEE Trans Microw Theory Tech2016; 64: 1–18. https://doi.org/10.1109/TMTT.2015.2513394
19.
ZhangWWhiteJMalhanR, et al. Loosely coupled transformer coil design to minimize EMF radiation in concerned areas. IEEE Trans Veh Technol2016; 65: 4779–4789. https://doi.org/10.1109/TVT.2016.2535272
20.
DaiZWangJLongM, et al. A witricity-based high-power device for wireless charging of electric vehicles. Energies2017; 10: 323. https://doi.org/10.3390/en10030323
21.
ShimodeDMuraiTSawadaT.Adaptation of discrete-type cores for secondary coils of wireless power transfer system for railway. Electr Eng Jpn2017; 201: 49–57. https://doi.org/10.1002/eej.23000
22.
LiuXWuKWangR, et al. Magnetic field shielding optimization based on wireless charging. In: 2020 IEEE 2nd international conference on circuits and systems, Chengdu, China, 10–13 December 2020, pp. 115–120. IEEE. https://doi.org/10.1109/ICCS51219.2020.9336524
23.
LiZZhuCJiangJ, et al. A 3-kW wireless power transfer system for sightseeing car supercapacitor charge. IEEE Trans Power Electron2017; 32: 3301–3316. https://doi.org/10.1109/TPEL.2016.2584701
24.
TejedaACarreteroCBoysJ, et al. Ferrite-less circular pad with controlled flux cancelation for EV wireless charging. IEEE Trans Power Electron2017; 32: 8349–8359. https://doi.org/10.1109/TPEL.2016.2642192
25.
MohammadMOnarOGaligekereV, et al. Magnetic shield design for the double-D coil-based wireless charging system. IEEE Trans Power Electron2022; 37: 15740–15752. https://doi.org/10.1109/TPEL.2022.3191911
26.
BimaMBhattacharyaIAdepojuW, et al. Effect of coil parameters on layered DD coil for efficient wireless power transfer. IEEE Lett Electromagn Compat Pract Appl2021; 3: 56–60. https://doi.org/10.1109/LEMCPA.2021.3068735
27.
LuoZWeiXCovicG. Multi-objective optimization of double D coils for wireless charging system. In: 2018 IEEE international power electronics and application conference and exposition, Shenzhen, China, 4–7 November 2018, pp. 1–6. IEEE. https://doi.org/10.1109/PEAC.2018.8589975
28.
LiHZhangBTangH.Coil synthesis design for multi-objective wireless power transmission system. Power Electron2020; 54: 32–35.
29.
TanLTangZZhongR, et al. An optimization strategy based on dimension reduction method in wireless charging system design. IEEE Access2019; 7: 151733–151745. https://doi.org/10.1109/ACCESS.2019.2948199
30.
TanTChenKLiuQ.Dynamic analysis and multi-objective parameter optimization in multi-receiver wireless power transfer systems. J Tsinghua Univ Sci Technol2021; 61: 1016–1018.
31.
MiMYangQLiY, et al. Multi-objective active shielding coil design for wireless electric vehicle charging system. IEEE Trans Magn2022; 58: 1–5. https://doi.org/10.1109/TMAG.2021.3094721
32.
BangKParkSBaeH, et al. Evaluation of electromagnetic exposure in wireless power transfer systems for electric vehicles. J Electromagn Eng Sci2024; 24: 34–41. https://doi.org/10.26866/jees.2024.1.r.202
33.
FaramarziAHeidarinejadMMirjaliliS, et al. Marine predators algorithm: a nature-inspired metaheuristic. Expert Syst Appl2020; 152: 113377. https://doi.org/10.1016/j.eswa.2020.113377
34.
YousriDAbd ElazizMOlivaD, et al. Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection. Knowl Based Syst2022; 235: 107603. https://doi.org/10.1016/j.knosys.2021.107603
35.
OszustM.Enhanced marine predators algorithm with local escaping operator for global optimization. Knowl Based Syst2021; 232: 107467. https://doi.org/10.1016/j.knosys.2021.107467
36.
HuGZhuXWeiG, et al. An improved marine predators algorithm for shape optimization of developable Ball surfaces. Eng Appl Artif Intell2021; 105: 104417. https://doi.org/10.1016/j.engappai.2021.104417
37.
HousseinEHassaballahMIbrahimI, et al. An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks. Expert Syst Appl2022; 187: 115936. https://doi.org/10.1016/j.eswa.2021.115936
38.
QuercioMLozitoGCortiF, et al. Recent results in shielding technologies for wireless electric vehicle charging systems. IEEE Access2024; 12: 16728–16740. https://doi.org/10.1109/ACCESS.2024.3357526
39.
LuoZWeiXPearceM, et al. Multiobjective optimization of inductive power transfer double-D pads for electric vehicles. IEEE Trans Power Electron2021; 36: 5135–5146. https://doi.org/10.1109/TPEL.2020.3029789
40.
FengWZhangDHanC, et al. Anti-offset performance optimization of coupling coils in wireless power transfer system based on genetic algorithm. Energy Rep2022; 8: 1–9. https://doi.org/10.1016/j.egyr.2022.05.104
41.
ShehataE.Design of high efficiency low frequency wireless power transfer system for electric vehicle charging. Electr Eng2022; 104: 1797–1809. https://doi.org/10.1007/s00202-021-01436-w
42.
El-ShahatADanjumaJAbdelazizA, et al. Human exposure influence analysis for wireless electric vehicle battery charging. Clean Technol2022; 4: 785–805. https://doi.org/10.3390/cleantechnol4030048
43.
SAE TIR J2954-2020. Wireless power transfer for light-duty plug-in/electric vehicles and alignment methodology. SAE International, 2020.
44.
ZimmerSHelwigMLucasP, et al. Systematic design approach for functional integration of vehicular wireless power transfers modules. Computers2021; 10: 61. https://doi.org/10.3390/computers10050061
45.
ZhangZPangHGeorgiadisA, et al. Wireless power transfer—an overview. IEEE Trans Ind Electron2019; 66: 1044–1058.
46.
LiSMiC.Wireless power transfer for electric vehicle applications. IEEE J Emerg Sel Top Power Electron2015; 3: 4–17.
47.
ZhuQWangLGuoY, et al. Applying LCC compensation network to dynamic wireless EV charging system. IEEE Trans Ind Electron2016; 63: 6557–6567.
48.
LiSLiWDengJ, et al. A double-sided LCC compensation network and its tuning method for wireless power transfer. IEEE Trans Veh Technol2015; 64: 2261–2273. https://doi.org/10.1109/TVT.2014.2347008
49.
LiuSSuJZhangJ.A design method for resonant network of bilateral LCC compensated wireless power transmission converter. Electr Power Autom Equip2022; 42: 96–102.
50.
BujokP.Evaluation of marine predator algorithm by using engineering optimisation problems. Mathematics2023; 11: 4716. https://doi.org/10.3390/math11234716
RahnamayanSTizhooshHSalamaM.Quasi-oppositional differential evolution. In: 2007 IEEE congress on evolutionary computation, Singapore, 25–28 September 2007, pp. 2229–2236. IEEE.
53.
ChenXLiangRLiuJ.An efficient scheme for design of vehicle chassis and development of dedicated tools. Chin J Automot Eng2021; 11: 447–453.
WenHChenXLiuX.A novel multi-scale finite element modeling method for high-precision analysis of hydraulic damper dynamics characteristics under full-operating conditions. Proc Inst Mech Eng Part D: J Automob Eng. Epub ahead of print 16September2025. https://doi.org/10.1177/09544070251368420
58.
WenHHuangHZhangW, et al. Research of time lag characteristics of Pilot-operated Solenoid Valve Damper based on multi-physics field. Proc Inst Mech Eng Part D: J Automob Eng2025; 239: 1660–1684. https://doi.org/10.1177/09544070231224838
59.
OuSZhangSLinZ, et al. A method for determining optimal electric range by considering electric vehicle lightweighting on perceived ownership cost. J Clean Prod2023; 385: 135606. https://doi.org/10.1016/j.jclepro.2022.135606
