MPC strategies based on the equivalent hydraulic model for the fast charge of commercial Li-ion batteries

Goldar, Alejandro; Romagnoli, Raffaele; Couto, Luis D.; Romero, A.; Kinnaert, Michel; Garone, Emanuele

doi:10.1016/j.compchemeng.2020.107010

Cited by 11 publications

(7 citation statements)

References 35 publications

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“…Therefore, combining SoX accuracy improvements with a promising prospect of merging these models with adaptive-filter methods and reduction techniques [21], P2D approaches can emerge as particularly compelling options in the field of advanced battery modeling, as Figure 4 summarizes.…”

Section: Lib Models In Bmssmentioning

confidence: 99%

“…These advancements were mainly achieved by proposing new ways of reducing the model order through asymptotic derivations of the P2D model [19], and the dimension of the relevant state-space system [20]. In this line, other studies have delved deeper into the field of P2D real-time applications, proposing even further order reductions, to enable P2D-related physical insight into BMS observers and controllers [21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends

Obrador Rey,

Canals Casals,

Gevorkov

et al. 2024

Electronics

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The primary focus in electrifying the transportation sector should be sustainability. This can be effectively attained through the application of the seven eco-efficiency principles, which constitute the global standard for assessing the sustainability of products. Consequently, this framework should guide the development of current electric vehicle designs. The first section of the present article assesses the alignment of the automotive industry with these sustainability requirements. Results show that even though the electric vehicle promotes the use of cleaner energy resources, it falls short of adhering to the remaining principles. The implementation of advanced models in battery management systems holds great potential to enhance lithium-ion battery systems’ overall performance, increasing the durability of the batteries and their intensity of use. While many studies focus on improving current electric equivalent models, this research delves into the potential applicability of Reduced-Order Model techniques for physics-based models within a battery management systems context to determine the different health, charge, or other estimations. This study sets the baseline for further investigations aimed at enhancing the reduced-order physics-based modeling field. A research line should be aimed at developing advanced and improved cell-state indicators, with enhanced physical insight, for various lithium-ion battery applications.

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Section: Lib Models In Bmssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends

Obrador Rey,

Canals Casals,

Gevorkov

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Other MPC implementations use computationally efficient algorithms like the Hildreth algorithm [32], [52], but they still require to solve the MPC problem for a sequence of inputs, which is not the case for the RG that only looks for a scalar parameter by checking a set of inequalities. All this is reflected in a lower computational load for RG schemes than MPCs as reported in [53] for fast charging.…”

Section: B Constraint Managementmentioning

confidence: 99%

Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control

Couto

Romagnoli

Park

et al. 2022

IEEE Trans. Contr. Syst. Technol.

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A constrained feedback control strategy designed on the basis of a simplified electrochemical-thermal model is considered for the fast and healthy charging of a lithium-ion battery cell. The constraints ensure avoidance of side reactions and operating modes that yield premature aging (healthier charging). They are enforced through a Reference Governor approach, hence requiring a low computational burden. A systematic approach is presented for model identification and control law design. The method is first validated on a detailed battery simulator based on the Doyle-Fuller-Newman model combined with a thermal model. Next, it is validated experimentally through batteryin-the-loop long-term aging campaigns, and the results show that the charging time is reduced by 22% while simultaneously ensuring a longer lifetime (26% less capacity degradation) compared to a 2C Constant-Current/Constant-Voltage (CCCV) approach. Compared to recommended C/2 CCCV, our method charges the battery 70% faster and degrades it similarly despite more demanding operating conditions.

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“…A model predictive controller is one of the most popular frameworks to produce a well‐known CCCV profile when subjected to real‐world constraints. The conventional fast charge problem comprises of computing the input current profile that can bring the initial SOC to final SOC in minimum possible time as illustrated in Equations ()–() [40, 41]:

m i n_{I} {([], t i m e t o c h a r g e)}_{S O C_{o} \to S O C_{f}}

m i n_{I} = \sum_{i = 0}^{N} {((), S O C ((), k + i k) - S O C_{r e f})}^{2}

((), S O C ((), k + i k) \leq S O C_{m a x})

…”

Section: Ev Charger Specifications For High Power Requirementmentioning

confidence: 99%

A state‐of‐the‐art review on topologies and control techniques of solid‐state transformers for electric vehicle extreme fast charging

Tahir

Khan

Rahman

et al. 2021

IET Power Electronics

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Electrical vehicle (EV) technology has gained popularity due to its higher efficiency, less maintenance, and lower dependence on fossil fuels. However, a longer charging time is a significant barrier to its complete adaptation. Solid state transformer (SST) based extreme fast charging schemes have emerged as an appealing idea with an ability to provide a refuelling capability analogous to that of gasoline vehicles. Therefore, this paper reviews the EV charger requirements, specifications, and design criteria for high power applications. At first, the key barriers of using a traditional low frequency transformer (LFT) are discussed, and potential solutions are suggested by replacing the conventional LFT with high frequency SST at extreme fast-charging (XFC) stations. Then, various SST-based converter topologies and their control for EV fast-charging stations are described. The reviewed control strategies are compared while considering several factors such as harmonics, voltage drop under varying loading conditions, dc offset load unbalances, overloads, and protection against system disturbances. Furthermore, the realization of SST for EV charging is comprehensively discussed, which facilitates understanding the current challenges, based on which potential solutions are also suggested.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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MPC strategies based on the equivalent hydraulic model for the fast charge of commercial Li-ion batteries

Cited by 11 publications

References 35 publications

Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends

Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends

Faster and Healthier Charging of Lithium-Ion Batteries via Constrained Feedback Control

A state‐of‐the‐art review on topologies and control techniques of solid‐state transformers for electric vehicle extreme fast charging

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