Accurate modelling and analysis of battery–supercapacitor hybrid energy storage system in DC microgrid systems

Arunkumar, Chellaiah; Manthati, Udaya Bhasker; Punna, Srinivas

doi:10.1007/s12667-021-00467-3

Cited by 14 publications

(9 citation statements)

References 33 publications

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“…These converters enable efficient management and control of energy distribution between different sources and connected loads. [6] Miniaturization and energy efficiency: Research is also focusing on miniaturization of DC-DC converters to reduce the size, weight and cost of renewable energy systems. In addition, advanced techniques such as soft switching, multilevel conversion topologies and advanced control algorithms are being developed to improve the energy efficiency and overall performance of DC-DC converters.…”

Section: Introductionmentioning

confidence: 99%

A Comparison Between the Quality of Two Level and Three Levels Bidirectional Buck-Boost Converter Using the Neural Network Controller

Gaied,

Flah,

Kraiem

et al. 2024

IEEE Access

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A comparison between two-phase and three-phase interlaced DC converter with parallel MOSFET is presented. PWM is evaluated using a two-way DC-DC converter to charge and discharge a battery. The results show an excellent DC voltage gain without an extremely high cycle load. The interlaced DC-DC converters with MOSFETs in parallel in two and three phases offer distinct advantages and limitations. The two-phase converter has a simpler design and a potentially lower cost due to the reduced number of components. However, it can present challenges in terms of precise voltage regulation and current balancing, due to the limited number of switching phases. On the other hand, the three-phase converter offers more precise voltage regulation and improved current balance thanks to its higher number of phases. While this results in increased design complexity and potentially higher cost, it allows for a more uniform distribution of current load among MOSFETs. The choice between the two will depend on the specific requirements of the application, acceptable trade-offs in terms of complexity, cost and performance, as well as the need for accurate voltage regulation and optimal current balancing.INDEX TERMS : battery storage, buck-boost DC-DC converter, interleaved bidirectional DC-DC converter, parallel-connected MOSFET, SOC.

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Section: Introductionmentioning

confidence: 99%

A Comparison Between the Quality of Two Level and Three Levels Bidirectional Buck-Boost Converter Using the Neural Network Controller

Gaied,

Flah,

Kraiem

et al. 2024

IEEE Access

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“…Filter-based control is an extensive subset within the different control paradigms, and it is widely implemented [9], [21]- [24]. It is relatively simple but offers robust performance and achieves good results on dynamics and cycle reduction [9], [21], [22], [25]- [28]. There is no explicit or generalized analysis of the design of filter-based control strategies, although it is often implemented and used in case studies (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…There is no explicit or generalized analysis of the design of filter-based control strategies, although it is often implemented and used in case studies (e.g. [21]- [23], [25], [27]- [33]), Either the choice of values of design variables of this controller type is undocumented (e.g. [25]- [27], [33]- [35]), or it is a consequence of a (meta-)heuristic optimization (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Structured Analysis and Review of Filter-Based Control Strategies for Hybrid Energy Storage Systems

et al. 2022

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Hybrid energy storage systems (HESS), i.e., the combination of two different energy storage technologies, are widely discussed as a promising solution for energy storage problems. A common control scheme to allocate the power between these storages and the subject of this study is filter-based control, where a filter splits the input signal into a low-frequency and high-frequency part. It provides robust results and easy implementation, although more advanced strategies may perform better. Many publications use this controller for specific problems, but a structured analysis of this controller type that quantifies the advantages and disadvantages, traits, and setbacks is missing. This work fills this gap and structures, summarizes, and provides mathematical background and guidelines on filter-based control of hybrid energy storage systems. Numerical simulations are performed to quantify the impact of design variables, parameters, or the input signal by using a linear storage model with efficiency and self-discharge rate and a low-pass filter controller with constant energy feedback as a representative subtype of this control scheme. The present work proves the high cycle-reduction capabilities of filter-controlled HESS at the cost of overdimensioning compared to more advanced control strategies. It demonstrates that using a high-efficiency, high-power storage with a low self-discharge rate and high-energy storage leads to smaller overall dimensioning and losses than a single storage system. The study identifies the feedback factor of the controller as the most impacting design variable.

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“…Moreover, most battery/SC cooperation approaches are designed using rule-based methods (Cao and Emadi, 2011), which is not in continuous operation for improving the performance of power flow and system efficiency. Currently, dividing the load into high-frequency and low-frequency parts by a low-pass filter (LPF) and assigning the optimal current reference to the battery and SC are still the main control logics for the HESS (Arunkumar et al, 2021; Khan and Khalid, 2021). Its advantages are small computational complexity, low control complexity, good robustness, and easy implementation.…”

Section: Introductionmentioning

confidence: 99%

An adaptive power distribution scheme for hybrid energy storage system to reduce the battery energy throughput in electric vehicles

Ren

Chen

Marco

2022

Transactions of the Institute of Measurement and Control

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The battery/supercapacitor (SC) hybrid energy storage system (HESS) is widely applied in electric vehicles (EVs) in recent years due to the hybrid system which combines the benefits of both devices. This paper proposes an adaptive power distribution scheme for battery/SC HESS to maximise the usage of SC according to its stored energy and load current. In the approach, the low-pass filter is developed with adaptive algorithm to calculate the suitable cut-off frequency to allocate the power demand between the battery and SC. The approach can adjust the cut-off frequency but not change the structure of the control system, and thus its original property of simple implementation and stability is not affected. The comprehensive simulation study verifies the effectiveness of the proposed adaptive power distribution scheme in a battery/SC HESS and its stability is further validated using Lyapunov method. The result shows that the adaptive method performs better than a traditional control system with 20%–40% less battery energy throughput during operation and can adjust the dynamic response of the HESS according to the energy capacity of SC to further improve system efficiency. The proposed adaptive power distribution scheme is verified able to extend the service life of the HESS system in EV applications.

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Accurate modelling and analysis of battery–supercapacitor hybrid energy storage system in DC microgrid systems

Cited by 14 publications

References 33 publications

A Comparison Between the Quality of Two Level and Three Levels Bidirectional Buck-Boost Converter Using the Neural Network Controller

A Comparison Between the Quality of Two Level and Three Levels Bidirectional Buck-Boost Converter Using the Neural Network Controller

Structured Analysis and Review of Filter-Based Control Strategies for Hybrid Energy Storage Systems

An adaptive power distribution scheme for hybrid energy storage system to reduce the battery energy throughput in electric vehicles

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