Comparative analysis of two hybrid energy storage systems used in a two front wheel driven electric vehicle during extreme start-up and regenerative braking operations

Itani, Khaled; Bernardinis, Alexandre De; Khatir, Zoubir; Jammal, Ahmad

doi:10.1016/j.enconman.2017.04.036

Cited by 70 publications

(36 citation statements)

References 22 publications

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“…The obtained results of the theoretical study into the dynamics of the working processes in the recuperative mechanical stepless transmission allow us to conclude that the developed mathematical model and the methods of its research are effective. The performed calculations confirm the effectiveness of this direction of technical development in the field of mechanical stepless transmissions of vehicles with the recovery of braking energy [5,6].…”

Section: Conclusion and Discussionsupporting

confidence: 62%

Dynamics of the recuperative mechanical stepless vehicle’s drive

Hoodorozhkov

Kozlenok

2020

E3S Web Conf.

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The article represents the results of a theoretical study into the operation of a mechanical stepless vehicle drive with the recuperation of braking energy and flywheel energy storage. This paper mainly focused on Adjustable-Speed Drive (ASD) as a part of the infinite ratio continuously variable transmission equipped with flywheel energy storage. To study the proposed transmission, the authors compiled a mathematical model in the form of a system of nonlinear differential equations. The proposed model allows you to determine and monitor the change in the angular velocities and angular accelerations of the rotating links of the transmission. The results of the work will be used to analyze the components of a stepless drive in order to optimize its components to reduce the response time and increase the transmission efficiency, which will lead to a reduction in mechanical losses during the movement of the proposed vehicle.

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Section: Conclusion and Discussionsupporting

confidence: 62%

Dynamics of the recuperative mechanical stepless vehicle’s drive

Hoodorozhkov

Kozlenok

2020

E3S Web Conf.

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“…In this case, the railroad operation is performed by considering the RERs (i.e., wind and solar PV powers) and hybrid energy storage systems. Here, the objective function consists of all the terms of Equation (11), and it is solved using the DEA. The total power absorbed from the grid, wind, and solar PV power generations, and the energy obtained from the battery and supercapacitor in this case are 3.862 MWh, 1.160 MWh, 0.816 MWh, 0.382 MWh, and 0.241 MWh, respectively.…”

Section: Case Studymentioning

confidence: 99%

“…Ghaviha et al [10] presents the application of energy storage devices used in railway systems for increasing the effectiveness of regenerative brakes. A comparative study of two hybrid energy storage systems of a two-front wheel-driven electric vehicle is presented in [11]. Two simulation approaches-to reproduce the behavior of high-speed trains when entering in a railway node, and to analyze the impact of regenerative braking in DC railways, including the usage of storage systems-have been developed in [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Energy Management of Railroad Electrical Systems with Renewable Energy and Energy Storage Systems

Park

Salkuti

2019

Sustainability

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The proposed optimal energy management system balances the energy flows among the energy consumption by accelerating trains, energy production from decelerating trains, energy from wind and solar photovoltaic (PV) energy systems, energy storage systems, and the energy exchange with a traditional electrical grid. In this paper, an AC optimal power flow (AC-OPF) problem is formulated by optimizing the total cost of operation of a railroad electrical system. The railroad system considered in this paper is composed of renewable energy resources such as wind and solar PV systems, regenerative braking capabilities, and hybrid energy storage systems. The hybrid energy storage systems include storage batteries and supercapacitors. The uncertainties associated with wind and solar PV powers are handled using probability distribution functions. The proposed optimization problem is solved using the differential evolution algorithm (DEA). The simulation results show the suitability and effectiveness of proposed approach.

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“…Itani et al compared flywheels with supercapacitors as the second energy source of front axle driven electric vehicles, and the results demonstrated that ultra-capacitors performed better in weight, specific energy and specific power. It was more convenient to reuse the braking energy and provided a solution to reduce the damage of the large current to batteries during regenerative braking [6]. For the control of specific components, Yuan et al proposed a new scheme of the line control dynamic system considering the functional requirements of regenerative braking in the structural development stage and adopted the current amplitude modulation control to improve the accuracy of hydraulic regulation and eliminate vibration noise.…”

Section: Introductionmentioning

confidence: 99%

Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor

Yang

Chen

et al. 2020

Energies

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The regenerative braking system of electric vehicles can not only achieve the task of braking but also recover the braking energy. However, due to the lack of in-depth analysis of the energy loss mechanism in electric braking, the energy cannot be fully recovered. In this study, the energy recovery problem of regenerative braking using the independent front axle and rear axle motor drive system is investigated. The accurate motor model is established, and various losses are analyzed. Based on the principle of minimum losses, the motor control strategy is designed. Furthermore, the power flow characteristics in electric braking are analyzed, and the optimal continuously variable transmission (CVT) speed ratio under different working conditions is obtained through optimization. To understand the potential of dual-motor energy recovery, a regenerative braking control strategy is proposed by optimizing the dynamic distribution coefficient of the dual-electric mechanism and considering the restrictions of regulations and the I curve. The simulation results under typical operating conditions and the New York City Cycle (NYCC) proposed conditions indicate that the improved strategy has higher joint efficiency. The energy recovery rate of the proposed strategy is increased by 1.18% in comparison with the typical braking strategy.

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Comparative analysis of two hybrid energy storage systems used in a two front wheel driven electric vehicle during extreme start-up and regenerative braking operations

Cited by 70 publications

References 22 publications

Dynamics of the recuperative mechanical stepless vehicle’s drive

Dynamics of the recuperative mechanical stepless vehicle’s drive

Optimal Energy Management of Railroad Electrical Systems with Renewable Energy and Energy Storage Systems

Efficiency Optimization and Control Strategy of Regenerative Braking System with Dual Motor

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