Multistage fast charging optimization protocol for lithium-ion batteries based on the biogeography-based algorithm

Wu, Xiaogang; Zhang, Kun; Chen, Yu; Du, Jiuyu; Щуров, Н. И.

doi:10.1016/j.est.2022.104679

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…Several applications of BBO algorithm are noticed in literature. Wu et al (2022) used biogeography-based optimization (BBO) based optimization algorithm to purpose a fast charging protocol for lithium-ion batteries. The optimization function has been formulated to minimize the battery charging time and temperature of the battery.…”

Section: Mathematical Modeling and Optimizationmentioning

confidence: 99%

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Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Panda

Srinivas

2023

Journal of Intelligent Material Systems and Structures

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Smart laminated composite structures with piezoelectric patches are widely used in vibration control applications in several engineering fields. Precise mathematical models are required for the coupling of base structural and piezoelectric field variables. This paper presents the electro-structural analysis and optimization studies of piezoelectric energy harvester with laminated composite substrate plate subjected to base excitations. The coupled electro-mechanical equations are derived from recently proposed first-order shear deformation theory via the Hamilton’s principle by considering hygrothermal effects. The coupled-field solution is obtained from Ritz-approximation and validated with three-dimensional finite element analysis. Effects of multiple piezoelectric patch topologies over the plate surface on the open-circuit voltage and displacement response are illustrated. Furthermore, the influences of piezoelectric-patch sizes, ply-orientation, size, and location of the tip mass are initially studied on the magnitude of output power and efficiency. An optimization study is conducted to identify the geometric and material variables for improvement of the harvester power output and efficiency.

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Section: Mathematical Modeling and Optimizationmentioning

confidence: 99%

“…The study about individual life over the geographical distribution of change time and space is termed as biogeography. Several applications of BBO algorithm are noticed in literature Wu et al (2022). used biogeography-based optimization (BBO) based optimization algorithm to purpose a fast charging protocol for lithium-ion batteries.…”

mentioning

confidence: 99%

Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Panda

Srinivas

2023

Journal of Intelligent Material Systems and Structures

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“…[ 23 ] Other charging protocols, such as dynamic pulse charging (PP‐CC) and multistage CC charging, have also been proposed based on various theories including genetic algorithm, [ 24 ] the Taguchi method, [ 25 ] to name but a few. [ 23–29 ] It has been rarely reported in LSB systems. Li + diffusion coefficient (

D_{\left(\text{Li}\right)^{+}}

) is an important feature of LIBs.…”

Section: Introductionmentioning

confidence: 99%

Effect of Charging Protocol on the Performance of LiNi_0.6Co_0.2Mn_0.2O₂ Lithium Slurry Batteries

Yin,

Xue,

Ren

et al. 2023

Energy Tech

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With flowable slurry electrode architecture, lithium slurry battery (LSB) has the advantages of high energy density and independent energy and power, which can be used as an excellent energy storage device. However, its practical application is still hindered by multiple factors, including prolonged ion/electron passage, serious interfacial parasitic reactions, low energy efficiency, et al. The special electrode structure can influence the charge percolation pathway, reduce the apparent Li+ diffusion coefficient (), and further impact the battery performances. Herein, a special six‐stage constant current (SS‐CC) charging protocol for LSB is developed based on under different state of charges, that is, higher charging rate at larger . Comparing with other charging protocols commonly used in lithium‐ion batteries such as constant current‐constant voltage, the LSB charged by SS‐CC protocol not only shows higher energy efficiency, but also enhanced cycle stability. This is attributed to the better synergy between lithium desertion and plating, which kinetically reduces the parasitic reactions such as solid–electrolyte interphase accumulation, dead lithium, or dendrite generation. It is believed that this charging protocol design strategy can also be applied in other LSB systems.

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Comparative Analysis of Charging Protocol for Degradation Reduction and Remaining‐Useful‐Life Enhancement of a Lithium‐Ion Battery

Adejare,

Okemakinde,

Tingbari

et al. 2024

Energy Tech

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Lithium‐ion batteries are widely used in various mobile applications, particularly in electric vehicles, due to their high energy and power density. However, repeated charge and discharge cycles and inappropriate charging protocols can lead to its early degradation, resulting in reduced capacity and high internal resistance. Even though some research has proposed an optimal charging method of a lithium‐ion battery, an effective method is yet to be identified for both time and degradation reduction. Herein, an effective charging protocol that minimizes battery life degradation thereby enhancing its remaining‐useful‐life is proposed. The proposed protocol is an adaptive multistage constant current (MCC) and pulse charging (PC) protocol, utilizing time‐dependent current charging profiles to prevent battery degradation with state‐of‐charge (SOC) variation and pulse relaxation intervals. An extended Kalman filter algorithm for accuracy SOC estimation is embedded with the charging protocol. The proposed method is evaluated with other charging profiles, including constant current, MCC, and PC protocols, to evaluate its performance. The results show that among the four cases proposed, only the PC protocol outperforms other charging protocols, achieving a balance between fast charging and battery degradation prevention, making it better applicable for use in practical battery charge applications.

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Multistage fast charging optimization protocol for lithium-ion batteries based on the biogeography-based algorithm

Cited by 8 publications

References 21 publications

Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Effect of Charging Protocol on the Performance of LiNi_0.6Co_0.2Mn_0.2O₂ Lithium Slurry Batteries

Comparative Analysis of Charging Protocol for Degradation Reduction and Remaining‐Useful‐Life Enhancement of a Lithium‐Ion Battery

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Multistage fast charging optimization protocol for lithium-ion batteries based on the biogeography-based algorithm

Cited by 8 publications

References 21 publications

Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Electro-structural modeling of smart laminated composite plate under hygrothermal environment for optimum vibration energy harvesting

Effect of Charging Protocol on the Performance of LiNi0.6Co0.2Mn0.2O2 Lithium Slurry Batteries

Comparative Analysis of Charging Protocol for Degradation Reduction and Remaining‐Useful‐Life Enhancement of a Lithium‐Ion Battery

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Product

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Effect of Charging Protocol on the Performance of LiNi_0.6Co_0.2Mn_0.2O₂ Lithium Slurry Batteries