A Novel Multiport DC-DC Converter for Enhancing the Design and Performance of Battery–Supercapacitor Hybrid Energy Storage Systems for Unmanned Aerial Vehicles

Fares, Ahmed M.; Klumpner, Christian; Sumner, Mark

doi:10.3390/app12062767

Cited by 10 publications

(2 citation statements)

References 39 publications

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“…A novel multiport DC/DC converter was presented by Sumner et al [24] for improving the development and performance of battery-SC HESS. The essential concept of the control method for HESS is that the battery provides the low-frequency power/high energy component, while the SC serves the high frequency/high amplitude elements of the load power, which are typically approximated by a load voltage regulator.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

Narasimhulu¹,

Naidu²,

Falkowski-Gilski

et al. 2022

Energies

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In an electric vehicle (EV), using more than one energy source often provides a safe ride without concerns about range. EVs are powered by photovoltaic (PV), battery, and ultracapacitor (UC) systems. The overall results of this arrangement are an increase in travel distance; a reduction in battery size; improved reaction, especially under overload; and an extension of battery life. Improved results allow the energy to be used efficiently, provide a comfortable ride, and require fewer energy sources. In this research, energy management between the PV system and the hybrid energy storage system (HESS), including the battery, and UC are discussed. The energy management control algorithms called Artificial Neural Network (ANN) and Aquila Optimizer Algorithm (AOA) are proposed. The proposed combined ANN–AOA approach takes full advantage of UC while limiting the battery discharge current, since it also mitigates high-speed dynamic battery charging and discharging currents. The responses’ behaviors are depicted and viewed in the MATLAB simulation environment to represent load variations and various road conditions. We also discuss the management among the PV system, battery, and UC to achieve the higher speed of 91 km/h when compared with existing Modified Harmony Search (MHS) and Genetic Algorithm-based Proportional Integral Derivative (GA-PID). The outcomes of this study could aid researchers and professionals from the automotive industry as well as various third parties involved in designing, maintaining, and evaluating a variety of energy sources and storage systems, especially renewable ones.

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Section: Literature Reviewmentioning

confidence: 99%

Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

Narasimhulu¹,

Naidu²,

Falkowski-Gilski

et al. 2022

Energies

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“…The literatures [27,28] introduce bootstrap circuits capable of multi-state operation. In one study [29], a phase-shifted carrier modulation method is proposed to suppress the current ripple and reduce the size of the topology device by a significant amount. On the other hand, another study [30] describe in detail the performance analysis methods for various operating states of the non-isolated converters in continuous conduction conditions, perform stability analysis, and give a scheme for dynamic model calculations.…”

Section: Introductionmentioning

confidence: 99%

Integrated DC/DC Converter Topology Study for Fuel Cell Hybrid Vehicles with Two Energy Sources

Xie

Luo

Qin

2022

WEVJ

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Conventional hybrid vehicles with two energy sources require two separate on-board DC/DC converters to connect the battery and the fuel cell, which have the disadvantages of large size, high cost, high losses and few applicable operating conditions. To address this situation, this paper proposes an optimized on-board integrated DC/DC converter with a non-isolated multi-port scheme that integrates a unidirectional port for the fuel cell and a bidirectional port for the battery and load. This can achieve a combined energy supply and recovery with a single integrated converter, effectively overcoming the above disadvantages. The optimized converter topology is relatively simple, and the magnetic losses of the transformer are removed. Furthermore, the switched capacitor is introduced as a voltage doubling unit to achieve high-gain output, so the fuel cell and battery voltage demand levels are reduced under the same load conditions. In addition, it has superior performance in system energy management for hybrid vehicles, which can distribute power and switch operating states by controlling the on/off of switching devices to make it suitable for five driving conditions. This paper discusses in detail the operating principles of the converter and analyzes its steady-state performance under five operating modes, derives its dynamic model, and proposes a proportional-integral control scheme. Finally, the simulation model of the topology is built by Matlab/Simulink software to verify the converter operation in each driving state, and the simulation experimental results verify the applicability of the proposed integrated DC/DC converter topology.

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Recent developments of multiport DC/DC converter topologies, control strategies, and applications: A comparative review and analysis

Farajdadian,

Hajizadeh,

Soltani

2024

Energy Reports

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A Novel Multiport DC-DC Converter for Enhancing the Design and Performance of Battery–Supercapacitor Hybrid Energy Storage Systems for Unmanned Aerial Vehicles

Cited by 10 publications

References 39 publications

Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

Energy Management for PV Powered Hybrid Storage System in Electric Vehicles Using Artificial Neural Network and Aquila Optimizer Algorithm

Integrated DC/DC Converter Topology Study for Fuel Cell Hybrid Vehicles with Two Energy Sources

Recent developments of multiport DC/DC converter topologies, control strategies, and applications: A comparative review and analysis

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