Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management

Kachhwaha, Aditya; Rashed, Ghamgeen Izat; Garg, Akhil Ranjan; Mahela, Om Prakash; Khan, Baseem; Shafik, M.B.; Hussien, Mohamed G.

doi:10.3390/su14020776

Cited by 30 publications

(8 citation statements)

References 42 publications

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“…A BDC is composed of an inductor L, two power MOSFET switches S1, S2, and, the two diodes D1, and D2. The low-side voltage of one of the BDC is the same as the UC voltage (V UC ) and the other BDC has a low-side voltage equal to the battery terminal voltage (V Batt ) [30]. The high-side voltage of both the BDCs is the voltage of the DC-link as shown in Fig.…”

Section: A Components Modeling: Bi-directional Dc-dc Convertermentioning

confidence: 99%

Battery-Ultracapacitor Hybrid Energy Storage System to Increase Battery Life Under Pulse Loads

et al. 2022

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This work presents a battery-ultracapacitor hybrid energy storage system (HESS) for pulsed loads (PL) in which ultracapacitors (UCs) run the pulse portion of the load while the battery powers the constant part of the load. Energy stored in UC depends upon the square of its voltage that's why an active parallel hybrid topology with two bidirectional converters (BDC) is employed here that assigns UC a separate BDC to control its voltage between an upper and lower limit as per-requisite. The other converter is connected between the battery and DC-link to provide a distinct control of the battery. A MATLAB/Simulink model is developed to minimize the factors affecting the battery life such as capacity rate (C-rate), depth of discharge (DoD), and temperature rise due to PL by controlling the operating modes of the BDCs in which voltage of the UC and state of charge (SoC) of the battery are control variables. A constant output voltage across the load is maintained through feedback control. A detailed comparative analysis, among battery-alone, UCalone, and battery-UC hybrid modes is performed which signifies that the proposed system is 55% lower in cost than its counterparts. The analysis shows that the proposed HESS reduces 50% capacity of a lead-acid battery, which is otherwise necessary to withstand the pulsating loads. Moreover, the performance of the HESS is also tested for electric vehicle (EV) load by hybridizing a high-voltage lithium-ion battery pack with a UC bank which confirms its suitability for EV applications.INDEX TERMS pulsed load, battery life improvement, ultracapacitors (UCs), bidirectional converter, hybrid energy storage system (HESS), and electric vehicles (EVs).

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Section: A Components Modeling: Bi-directional Dc-dc Convertermentioning

confidence: 99%

Battery-Ultracapacitor Hybrid Energy Storage System to Increase Battery Life Under Pulse Loads

et al. 2022

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“…Vehicle to grid (V2G) capability is provided by PHEVs, which solves the problem of restricted driving range [15]. A hybrid energy source system for EV is an integration of a battery and super capacitor that improves overall efficiency and battery lifespan [16][17][18][19][20].…”

Section: Motivationmentioning

confidence: 99%

Design and Implementation of Hybrid PV/Battery-Based Improved Single-Ended Primary-Inductor Converter-Fed Hybrid Electric Vehicle

Aljafari

Devarajan²,

Arumugam³

et al. 2022

International Transactions on Electrical Energy Systems

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In order to enhance the power transformation stage’s power transfer capabilities and efficiency, in this article, improved three-port two step-up single-ended primary-inductor converters (SEPIC) converter fed (Photovoltaic )PV- Hybrid Electric Vehicle was proposed. In comparison to the standard single-stage SEPIC, the proposed converter accepts a wider range of input voltages. The proposed three-port converter uses a multiple-winding high-frequency transformer (HFT) to integrate the dual sources and provide greater voltage gain with lesser elements. Furthermore, by predicting the drive torque need, the power management algorithm (PMA) included with the proposed PV-hybrid electric vehicle (HEV) minimizes the drive motor’s power consumption. An experimental model with a power output of 6 kW and a voltage range of 12 to 600 volts has been created and tested. The designed model has 94.11% efficiency.

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“…The implementation and quality assessment of an integrated battery and UC energy storage for EV was conducted by Kachhwaha et al [25]. According to the analytical model, the benefit of this configuration is that it effectively controls the DC link voltage of an electric vehicle with a hybrid power source while placing the battery under the least amount of load stress possible, extending the battery lifetime.…”

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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Design and Performance Analysis of Hybrid Battery and Ultracapacitor Energy Storage System for Electrical Vehicle Active Power Management

Cited by 30 publications

References 42 publications

Battery-Ultracapacitor Hybrid Energy Storage System to Increase Battery Life Under Pulse Loads

Battery-Ultracapacitor Hybrid Energy Storage System to Increase Battery Life Under Pulse Loads

Design and Implementation of Hybrid PV/Battery-Based Improved Single-Ended Primary-Inductor Converter-Fed Hybrid Electric Vehicle

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

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