Modeling of a DC-DC bidirectional converter used in mild hybrid electric vehicles from measurements

Rojas-Dueñas, Gabriel; Riba, Jordi; Moreno-Eguilaz, Manuel

doi:10.1016/j.measurement.2021.109838

Cited by 12 publications

(8 citation statements)

References 32 publications

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“…The operating characteristics of distributed energy storage are affected by the battery's state, temperature, and other factors, so it is necessary to study the relevant parameters before giving the equivalent circuit of distributed energy storage [24][25][26][27][28] . The state of charge is a parameter used to characterize the residual capacity of distributed energy storage [29][30][31] , which is defined as the ratio of the residual capacity of distributed energy storage to the standard capacity: where, E 0 (V ) is the no-load potential of distributed energy storage, which C max can be calculated through the actual state of the battery; Is the maximum capacity of distributed energy storage; The coefficient A(V ),K(V ) , and are constants, which can be obtained by fitting the discharge characteristic curve of distributed energy storage.…”

Section: Analysis Of the Charged State Of Distributed Energy Storagementioning

confidence: 99%

Research on the control strategy of DC microgrids with distributed energy storage

Li,

Zhao,

Zhuang

et al. 2023

Sci Rep

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As a supplement to large power grids, DC microgrids with new energy access are increasingly widely used. However, with the increasing proportion of new energy in DC microgrids, its output fluctuations directly affect the overall stability of the microgrids. Distributed energy storage can smooth the output fluctuation of distributed new energy. In this paper, an AC-DC hybrid micro-grid operation topology with distributed new energy and distributed energy storage system access is designed, and on this basis, a coordinated control strategy of a micro-grid system based on distributed energy storage is proposed. To maintain the voltage stability of the DC bus and make each station have the power-sharing ability, the AC/DC flexibly interconnected converter should adopt two control strategies. The power can flow bidirectional in the power scheduling and distribution of the energy storage station; At the same time, different power distribution schemes will generate different scheduling costs. To optimize the operation of energy storage power stations, an improved particle swarm optimization algorithm is adopted in this paper to optimize the scheduling task allocation scheme. The optimization objective is the lowest scheduling cost, to realize the optimal scheduling of energy storage power stations. In this paper, based on a Matlab/Simulink environment, a microgrid system based on an AC-DC hybrid bus is built. The simulation results verify the effectiveness of the proposed microgrid coordinated control strategy.

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Section: Analysis Of the Charged State Of Distributed Energy Storagementioning

confidence: 99%

Research on the control strategy of DC microgrids with distributed energy storage

Li,

Zhao,

Zhuang

et al. 2023

Sci Rep

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show abstract

“…In the source offstate, the storage devices should sustain the DC link voltage at a rated value and so to direct the flow of energy from the energy storage devices and to maintain the DC link voltage. For this bidirectional converters have been chosen which have certain advantages like allowing the flow of power in both directions therefore charging and discharging of the storage devices can be done based upon the input source which is not possible in unidirectional converters (Rojas-Dueñas et al, 2021). For controlling the operation of bidirectional converters to maintain constant DC links, an energy management technique has been proposed.…”

Section: Introductionmentioning

confidence: 99%

ANN Optimized Hybrid Energy Management Control System for Electric Vehicles

Mani¹,

Yarlagadda²,

RAVIPATI³

et al. 2023

SIC

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The automobile industry is focusing on renewable power sources for driving Electric Vehicles (EVs), which results in the reduction of pollution. This paper presents an Artificial Neural Network (ANN) optimized hybrid Energy Management System (EMS), which was designed for solar Photovoltaic (PV) Electric Vehicles (EVs). In the proposed EMS, two DC-DC converters are utilized, namely a High Gain Interleaved Boost Converter (HGIBC) and a conventional boost converter. The main use of the HGIBC is to harvest maximum power from the solar PV panel which is accomplished with the help of a Model Predictive Controller (MPC) and the other DC-DC converter is used for maintaining the DC link voltage constant. The model predictive controller not only controls the parameters involved,but it can also predict a future change in these parameters, which cannot be performed by conventional controllers. The purpose of this paper is to proposea hybrid energy supply systemfor EVs based on a Battery and an Ultra-Capacitor. The energy of the battery and of the UC is controlled by an ANNcontrollerand also evaluated by means of a conventional PI controller. Based on the simulation results, it can be concluded thatthe ANN controller showed a better performance in comparison with the Proportional Integral (PI) controller. The entire structure wasanalysedfor various conditions of the State of Charge (SoC) of the Battery using MATLAB/Simulink.

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“…And once the number of batteries in the battery pack is determined, the equilibrium structure will also be determined, so it cannot be expanded in the future. In addition, bidirectional DC converter has a higher balancing cost [23,24,25,26,27].…”

Section: Introductionmentioning

confidence: 99%

Research on screening of lithium battery based on capacity-voltage second derivative and equalization charging technology

Qiang

Kong

Zheng

et al. 2022

IEICE Electron. Express

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In order to solve the problems of slow speed and low accuracy of current screening of lithium batteries with different performance., a fast screening method for lithium batteries was proposed based on the second derivative of capacity-voltage discharge curve, and the 3.4V voltage point was taken as the feature point for screening. This method is faster than the traditional method, and the accuracy can be improved to more than 90%; In order to solve the problem of overcharging and other imbalance in lithium battery charging, a multi-mode serial-parallel conversion circuit was proposed, which takes 3.4V as the starting voltage of charge control, which can effectively equalize the charge of battery pack and eliminate the inconsistencies between batteries. After equalization charging, the voltage difference between battery packs can be reduced to less than 1mV. key words fast screening method, second derivative, multi-mode serial-parallel conversion circuit, eliminate the inconsistencies Classification: algorithm, electronic circuit and battery charging

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Modeling of a DC-DC bidirectional converter used in mild hybrid electric vehicles from measurements

Cited by 12 publications

References 32 publications

Research on the control strategy of DC microgrids with distributed energy storage

Research on the control strategy of DC microgrids with distributed energy storage

ANN Optimized Hybrid Energy Management Control System for Electric Vehicles

Research on screening of lithium battery based on capacity-voltage second derivative and equalization charging technology

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