Power Quality Improvement in Hybrid E-Bicycles Using the Adaptive Reinforcement Current Tracking-based Super-Lift Converter
DOI:
https://doi.org/10.25729/esr.2025.04.0009Keywords:
Active front end, Battery, Electric bicycle, Power factor correction, Total Harmonic DistortionAbstract
Electric bicycles are becoming increasingly popular as green mobility solutions. However, problems of low mileage, a poor power factor, and unstable charging voltage still persist. This study proposes a novel power management system with a Super-Lift Converter (SLC), Field Programmable Gate Array (FPGA)-regulated active front-end circuitry, and a flexible solar panel to address the issues. The system’s design uses a 350 W BLDC hub motor and a 36 V 10.4 Ah lithium-ion battery. A SLC is inserted between the charger and battery to achieve a high voltage transfer gain and voltage ripple of less than 1%. The incorporated FPGA runs an Adaptive Reinforcement-based Current Tracking (ARCT) algorithm to provide power factor correction by generating a synchronized reference inductor current with the input voltage waveform. A 60 W, 36 V flexible solar panel is attached to a secondary input of the SLC to provide solar-assisted charging and extend the vehicle range from 45 km to 50 km per charge. During charging of the 36–42 V lithium-ion battery, the system is powered from a 230 V AC grid, stepped down to 100 V AC using a transformer, along with the PV input. Experimental results attest to a dramatic reduction in total harmonic distortion and enhanced current tracking performance. The proposed system provides a sustainable and compact solution for electric bicycles and similar energy-efficient mobility platforms
References
T. Myateg, V. Lyubchenko, O. Atamanova, S. Yurkov, E. Mogilenko, “The Influence of electric vehicle charging stations on the quality of power supply to the consumer in Novosibirsk 10/0.4 KV electrical networks,” Energy Syst. Res., vol. 6, no. 2, pp. 62–74, 2023. DOI: 10.25729/esr.2023.02.0007.
L. Stilo, H. Lugo, D. S. Velandia, P. P. Conway, A. A. West, “Personalised controller strategies for next generation intelligent adaptive electric bicycles,” IEEE Trans. Intell. Transp. Syst., vol. 22, no. 12, pp. 7814–7825, 2021. DOI: 10.1109/TITS.2020.3009400.
Y. Li, J. Hu, F. Chen, S. Liu, Z. Yan, Z. He, “A new-variable-coil-structure-based IPT system with load-independent constant output current or voltage for charging electric bicycles,” IEEE Trans. Power Electron., vol. 33, no. 10, pp. 8226–8230, 2018. DOI: 10.1109/TPEL.2018.2812716.
M. Corno, D. Berretta, P. Spagnol, S. M. Savaresi, “Design, control, and validation of a charge-sustaining parallel hybrid bicycle,” IEEE Trans. Control Syst. Technol., vol. 24, no. 3, pp. 817–829, 2016. DOI: 10.1109/TCST.2015.2473821.
G. Suri, S. Onori, “A control-oriented cycle-life model for hybrid electric vehicle lithium-ion batteries,” Energy, vol. 96, pp. 644–653, 2016. DOI: 10.1016/j.energy.2015.11.075.
R. C. Hsu, C. T. Liu, D. Y. Chan, “A reinforcement-learning-based assisted power management with QoR provisioning for human-electric hybrid bicycle,” IEEE Trans. Ind. Electron., vol. 59, no. 8, pp. 3350–3359, 2012. DOI: 10.1109/TIE.2011.2141092.
M. Guarisco, F. Gao, D. Paire, “Autonomy and user experience enhancement control of an electrically assisted bicycle with dual-wheel drive,” IEEE Trans. Ind. Appl., vol. 53, no. 2, pp. 1476–1484, 2017. DOI: 10.1109/TIA.2016.2617299.
R. Mai, Y. Chen, Y. Li, Y. Zhang, G. Cao, Z. He, “Inductive power transfer for massive electric bicycles charging based on hybrid topology switching with a single inverter,” IEEE Trans. Power Electron., vol. 32, no. 8, pp. 5897–5906, 2017. DOI: 10.1109/TPEL.2017.2654360.
S. Kuznetsova, V. V. Khanaev, “Alternative possibilities of using electric cars in Siberia,” Energy Syst. Res., vol. 5, no. 3, pp. 50–56, 2022. DOI: 10.38028/esr.2022.03.0007.
Y. Chen, Z. Kou, Y. Zhang, Z. He, R. Mai, G. Cao, “Hybrid topology with configurable charge current and charge voltage output-based WPT charger for massive electric bicycles,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 6, no. 3, pp. 1581–1594, 2018. DOI: 10.1109/JESTPE.2017.2782269.
A. Triviño-Cabrera, J. M. Gonzalez-Gonzalez, J. A. Aguado, “Design and implementation of a cost-effective wireless charger for an electric bicycle,” IEEE Access, vol. 9, pp. 85277–85288, 2021. DOI: 10.1109/ACCESS.2021.3084802.
A. A. Patoli, G. Fortino, “FPGA-based system implementation of IEEE 1588 precision time protocol: A review,” IEEE Sens.J., vol. 25, no. 11, pp. 18624–18642, 2025. DOI: 10.1109/JSEN.2025.3557277.
Y. Zhou et al., “Online inductance identification and FPGA-based real-time digital control design for APF,” IEEE Trans. Power Electron., vol. 38, no. 2, pp. 1549–1561, 2023. DOI: 10.1109/TPEL.2022.3209893.
R. N. Tripathi, “Dead-time evaluation with switching frequency for GaN-based non-inverting buck-boost DC–DC converter using FPGA-based high-frequency control,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 12, no. 1, pp. 496–504, 2024. DOI: 10.1109/JESTPE.2023.3344458.
Z. Li, J. Xu, K. Wang, P. Wu, G. Li, “FPGA-based real-time simulation for EV station with multiple high-frequency chargers based on C-EMTP algorithm,” Prot. Control Mod. Power Syst., vol. 5, no. 1, 2020. DOI: 10.1186/s41601-020-00171-x.
F. L. Luo, H. Ye, Advanced DC/DC converters. New York, USA: CRC Press, 2003. DOI: 10.1201/9780203492925.
B. Faridpak, M. Farrokhifar, M. Nasiri, A. Alahyari, N. Sadoogi, “Developing a super-lift Luo-converter with integration of buck converters for electric vehicle applications,” CSEE J. Power Energy Syst., vol. 7, no. 4, pp. 811–820, 2020. DOI: https://doi.org/10.17775/CSEEJPES.2020.01880.
S. Mahdizadeh, H. Gholizadeh, S. A. Gorji, “A power converter based on the combination of Cuk and positive output super lift Lou converters: Circuit analysis, simulation and experimental validation,” IEEE Access, vol. 10, pp. 52899–52911, 2022. DOI: 10.1109/ACCESS.2022.3175892.
F. Ghasemi, M. R. Yazdani, M. Delshad, “Step-up DC-DC switching converter with single switch and multi-outputs based on Luo topology,” IEEE Access, vol. 10, pp. 16871–16882, 2022. DOI: 10.1109/ACCESS.2022.3150316.
M. Mahdavi, M. Shahriari-Kahkeshi, N. R. Abjadi, “An adaptive estimator-based sliding mode control scheme for uncertain POESLL converter,” IEEE Trans. Aerosp. Electron. Syst., vol. 55, no. 6, pp. 3551–3560, 2019. DOI: 10.1109/TAES.2019.2908272.
C. Y. Chan, “Adaptive modified current-mode control of a hybrid high voltage gain converter,” IEEE Trans. Circuits Syst. II Express Briefs, vol. 71, no. 1, pp. 360–364, 2024. DOI: 10.1109/TCSII.2023.3303467.
X. Jin, J. Qin, S. Member, “Adaptive perturbation rejection control for a class of converter systems with circuit realization,” IEEE Trans. Syst. Man, Cybern. Syst., vol. 52, no. 1, pp. 4740–4750, 2022. DOI: 10.1109/TSMC.2021.3103066.
D. Weber, M. Schenke, O. Wallscheid, “Steady-state error compensation for reinforcement learning-based control of power electronic systems,” IEEE Access, vol. 11, pp. 76524–76536, 2023. DOI: 10.1109/ACCESS.2023.3297274.
A. Ahmadian, K. Sedghisigarchi, R. Gadh, “Empowering dynamic active and reactive power control: A deep reinforcement learning controller for three-phase grid-connected electric vehicles,” IEEE Access, vol. 12, pp. 66068–66084, 2024. DOI: 10.1109/ACCESS.2024.3396449.
Y. Wan, Q. Xu, T. Dragicevic, “Reinforcement learning-based predictive control for power electronic converters,” IEEE Trans. Ind. Electron., vol. 72, no. 5, pp. 5353–5364, 2025. DOI: 10.1109/TIE.2024.3472299.
D. Jakobeit, M. Schenke, O. Wallscheid, “Meta-reinforcement-learning-based current control of permanent magnet synchronous motor drives for a wide range of power classes,” IEEE Trans. Power Electron., vol. 38, no. 7, pp. 8062–8074, 2023. DOI: 10.1109/TPEL.2023.3256424.
D. Lee, B. Kim, S. Kwon, N. D. Nguyen, M. Kyu Sim, Y. Il Lee, “Reinforcement learning-based control of DC-DC buck converter considering controller time delay,” IEEE Access, vol. 12, pp. 118442–118452, 2024. DOI: 10.1109/ACCESS.2024.3448535.
C. Wei, Z. Zhang, W. Qiao, L. Qu, “Reinforcement-learning-based intelligent maximum power point tracking control for wind energy conversion systems,” IEEE Trans. Ind. Electron., vol. 62, no. 10, pp. 6360–6370, 2015. DOI: 10.1109/TIE.2015.2420792.
B. Huangfu, C. Cui, C. Zhang, L. Xu, “Learning-based optimal large-signal stabilization for DC/DC boost converters feeding CPLs via deep reinforcement learning,” IEEE J. Emerg. Sel. Top. Power Electron., vol. 11, no. 6, pp. 5592–5601, 2023. DOI: 10.1109/JESTPE.2022.3189078.
Y. Wan, Q. Xu, T. Dragicevic, “Safety-enhanced self-learning for optimal power converter control,” IEEE Trans. Ind. Electron., vol. 71, no. 11, pp. 15229–15234, 2024. DOI: 10.1109/TIE.2024.3363759.
R. Muduli, D. Jena, T. Moger, “Application of reinforcement learning-based adaptive PID controller for automatic generation control of multi-area power system,” IEEE Trans. Autom. Sci. Eng., vol. 22, pp. 1057–1068, 2025. DOI: 10.1109/TASE.2024.3359219.
G. M. Mustafa, S. I. Gusev, “Active filters for standard-compliant power quality in electrical networks,” Energy Syst. Res., vol. 7, no. 1, pp. 51–65, 2024. DOI: 10.25729/esr.2024.01.0006.
S. S. Sayed, A. M. Massoud, “Review on state-of-the-art unidirectional non-isolated power factor correction converters for short-/long-distance electric vehicles,” IEEE Access, vol. 10, pp. 11308–11340, 2022. DOI: 10.1109/ACCESS.2022.3146410.
M. R. Haque, K. M. A. Salam, M. A. Razzak, “A modified PI-controller based high current density DC-DC converter for EV charging applications,” IEEE Access, vol. 11, pp. 27246–27266, 2023. DOI: 10.1109/ACCESS.2023.3258181.
J. Liu, C. S. Wong, Z. Li, X. Jiang, K. H. Loo, “An integrated three-phase AC-DC wireless-power-transfer converter with active power factor correction using three transmitter coils,” IEEE Trans. Power Electron., vol. 38, no. 6, pp. 7821–7835, 2023. DOI: 10.1109/TPEL.2023.3238877.
X. Huang, X. Ruan, L. Zhang, F. Liu, “Second harmonic current reduction schemes for DC-DC converter in two-stage PFC converters,” IEEE Trans. Power Electron., vol. 37, no. 1, pp. 332–343, 2022. DOI: 10.1109/TPEL.2021.3099170.
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