A Novel Battery Management System Using the Duality of the Adaptive Droop Control Theory

Chowdhury, Sifat; Badawy, Mohamed O.; Sözer, Yilmaz; Garcia, J. Alexis De Abreu

doi:10.1109/tia.2019.2919497

Cited by 28 publications

(7 citation statements)

References 36 publications

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“…(b) modularized [554,557,562]; (c) distributed [9,401,461,527,555,[563][564][565][566][567]; (d) decentralized [553,554,557,560,562,[568][569][570].…”

Section: Central Master Controllermentioning

confidence: 99%

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Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of electric vehicles. The essential features of Intelligent Battery Systems are the accurate and robust determination of cell individual states and the ability to control the current of each cell by reconfiguration. They enable high-level functions like fault diagnostics, multi-objective balancing strategies, multilevel inverters, and hybrid energy storage systems. State of the art and recent advances in these topics are compiled and critically discussed in this article. A comprising, critical discussion of the implementation aspects of Intelligent Battery Systems complements the review. We touch on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell. This review contributes to transferring the best technologies from research to product development.

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“…(b) modularized [554,557,562]; (c) distributed [9,401,461,527,555,[563][564][565][566][567]; (d) decentralized [553,554,557,560,562,[568][569][570].…”

Section: Central Master Controllermentioning

confidence: 99%

“…With fragmentary information, optimal control is hard to achieve. For decentralized BMSs, the type of algorithms completely differs from central architectures [530,569]. System functions like balancing or MLI must be solved in collaboration.…”

Section: Central Master Controllermentioning

confidence: 99%

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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“…The idea of virtual admittance is not new in converter controls [21][22][23][24][25][26]. It has been studied for DC systems to create droop phenomena and enforce power sharing in DC [23,27,28] and AC [24,[29][30][31] microgrids, and similarly in battery management systems [22]. Another application is to regulate harmonic voltages in current-controlled inverters [29,32].…”

Section: Literature Reviewmentioning

confidence: 99%

Virtual Oscillator Control of Equivalent Voltage-Sourced and Current-Controlled Power Converters

et al. 2019

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The dynamics of a general class of weakly nonlinear oscillators can be used to control power converters to create a self-forming AC network of distributed generators. Many control stability results for these “virtual” oscillators consider the interaction of voltage-source converters, but most practical converters use a nested current loop. This paper develops a general method to extend voltage-source stability results to current-controlled converters using a virtual admittance. A fast current control loop allows a singular perturbations analysis to demonstrate the equivalence of the two. This virtual admittance can also manipulate load sharing between converters without changing the core nonlinear dynamics. In addition, Virtual Oscillator Control is experimentally demonstrated with three-phase voltage-sourced and current-controlled inverters. This validates the equivalence of the two formulations, and extends previous single phase testing into three phases. The extension to current-controlled converters enhances safety and increases the breadth of applications for existing control methods.

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“…Therefore, the reference [22] proposes an improved droop control method based on SoC, but only discusses the SoC equilibrium when the energy storage units are discharging, and does not analyze the SoC equilibrium when them are charging. Reference [23] proposes an adaptive droop control method based on the fuzzy algorithm with the voltage deviation, voltage unbalance coefficient, and SoC as input variables, which are designed to obtain an optimized droop control coefficient.…”

Section: Introductionmentioning

confidence: 99%

Multivariable Coordinated Nonlinear Gain Droop Control for PV-Battery Hybrid DC Microgrid Access System via a T-S Fuzzy Decision Approach

et al. 2022

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The PV-Battery hybrid DC microgrid is an important structural form for distributed renewable energy microgrid applications. This paper focuses on improving the access utilization rate of PV-Battery energy and enhancing the access stability of the DC bus voltage. Firstly, based on the voltage droop control method for multi-source access system, the relationship between the power margin of PV-Battery energy and the regulation of DC bus voltage deviation is analyzed. Then, a multivariable T-S fuzzy decision approach is used to design a nonlinear virtual resistance-based voltage droop gain coefficient function, which achieves a highly adaptive coordinated distribution of PV-Battery power as well as supports DC bus voltage stabilization. The T-S fuzzy input variables include the DC bus voltage deviation of the access point, the state of charge of the battery, and the PV sunlight intensity. Finally, the simulation system is built employing MATLAB/Simulink, and the feasibility and effectiveness of the proposed strategy are verified through multischeme simulations.INDEX TERMS renewable energy, DC microgrid, T-S fuzzy control, variable gain, coordinated control.

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A Novel Battery Management System Using the Duality of the Adaptive Droop Control Theory

Cited by 28 publications

References 36 publications

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

Virtual Oscillator Control of Equivalent Voltage-Sourced and Current-Controlled Power Converters

Multivariable Coordinated Nonlinear Gain Droop Control for PV-Battery Hybrid DC Microgrid Access System via a T-S Fuzzy Decision Approach

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