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A Multi-Stage Approach to a Hybrid Lead Acid Battery and Supercapacitor System for Transport Vehicles

Author

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  • Mpho J. Lencwe

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Shyama P. Chowdhury

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Thomas O. Olwal

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

Abstract

Lead Acid Batteries (LABs) are used for starting, lighting, and igniting, as well as in air conditioning systems and to supply power to electric engines in transport vehicles (TVs). However, the application of LABs for TVs has faced a number of market challenges, mounted by the upcoming high energy density and long lifespan batteries, such as lithium ion. LABs, on the other hand, are inexpensive. The key research question is, how can the lifespan of LABs used in automotive industries be increased, while still ensuring a low cost solution? Thus, integrating LABs with the supercapacitor (known as an electric double layer capacitor—EDLC) is likely to outperform the competing alternative batteries for TVs. This paper proposes a multiple stage approach to hybrid lead acid batteries and a supercapacitor system for TVs that is capable of maintaining the battery state-of-charge (SOC) at statistically high limits, ranging between 90% and 95%. This SOC target will likely ensure that the lifespan of the hybrid battery system can be elongated (extended) more than its competitors. In this study, the multiple stage approach of concatenated converters has been designed in order to satisfy all energy storage requirements for different characteristics of LABs and the supercapacitor. The designed hybrid system has been simulated using Matrix Laboratory (MATLAB/Simulink (version R2016a, MathWorks, Natick, MA, USA)). The simulated results show that high transient currents from the direct current (DC) bus of LABs, caused by the regenerative braking or deceleration of the TVs, reduce the battery lifespan and induce mechanical stress. The supercapacitor reduces the stress on the LAB by absorbing high transient currents. This, in turn, keeps the LABs’ SOC between 90% and 96% and the voltage at 12 V. As indicated by the simulated results, the hybrid battery SOC is maintained at 90–96% and the terminal voltage is approximately 12 V.

Suggested Citation

  • Mpho J. Lencwe & Shyama P. Chowdhury & Thomas O. Olwal, 2018. "A Multi-Stage Approach to a Hybrid Lead Acid Battery and Supercapacitor System for Transport Vehicles," Energies, MDPI, vol. 11(11), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2888-:d:178005
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    References listed on IDEAS

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    1. Castaings, Ali & Lhomme, Walter & Trigui, Rochdi & Bouscayrol, Alain, 2016. "Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints," Applied Energy, Elsevier, vol. 163(C), pages 190-200.
    2. Song, Ziyou & Hou, Jun & Hofmann, Heath & Li, Jianqiu & Ouyang, Minggao, 2017. "Sliding-mode and Lyapunov function-based control for battery/supercapacitor hybrid energy storage system used in electric vehicles," Energy, Elsevier, vol. 122(C), pages 601-612.
    3. Massimiliano Passalacqua & Damiano Lanzarotto & Matteo Repetto & Mario Marchesoni, 2017. "Advantages of Using Supercapacitors and Silicon Carbide on Hybrid Vehicle Series Architecture," Energies, MDPI, vol. 10(7), pages 1-14, July.
    4. Hossain, M.Z. & Rahim, N.A. & Selvaraj, Jeyraj a/l, 2018. "Recent progress and development on power DC-DC converter topology, control, design and applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 205-230.
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    Cited by:

    1. Mihai Machedon-Pisu & Paul Nicolae Borza, 2019. "Are Personal Electric Vehicles Sustainable? A Hybrid E-Bike Case Study," Sustainability, MDPI, vol. 12(1), pages 1-24, December.
    2. Gang Xiao & Qihong Chen & Peng Xiao & Liyan Zhang & Quansen Rong, 2022. "Multiobjective Optimization for a Li-Ion Battery and Supercapacitor Hybrid Energy Storage Electric Vehicle," Energies, MDPI, vol. 15(8), pages 1-13, April.
    3. Yue Zhou & Hussein Obeid & Salah Laghrouche & Mickael Hilairet & Abdesslem Djerdir, 2020. "A Disturbance Rejection Control Strategy of a Single Converter Hybrid Electrical System Integrating Battery Degradation," Energies, MDPI, vol. 13(11), pages 1-19, June.
    4. Andre T. Puati Zau & Mpho J. Lencwe & S. P. Daniel Chowdhury & Thomas O. Olwal, 2022. "A Battery Management Strategy in a Lead-Acid and Lithium-Ion Hybrid Battery Energy Storage System for Conventional Transport Vehicles," Energies, MDPI, vol. 15(7), pages 1-29, April.

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