The specific energy density effectively improved through minimum computation despite the nonlinearity of the electrochemical model in PQRSM optimization. Due to their high theoretical energy density and long life, lithium-ion batteries (LIB) are widely used as rechargeable batteries.
A multi-objective optimization framework is proposed to achieve optimal battery design with a balanced performance. Elevating operating temperature can achieve high energy density and rate capability simultaneously. Electrified transportation requires batteries with high energy density and high-rate capability for both charging and discharging.
The applications of lithium-ion batteries (LIBs) have been widespread including electric vehicles (EVs) and hybridelectric vehicles (HEVs) because of their lucrative characteristics such as high energy density, long cycle life, environmental friendliness, high power density, low self-discharge, and the absence of memory effect [, , ].
Electrified transportation requires batteries with high energy density and high-rate capability for both charging and discharging. Li-ion batteries (LiBs) face a dilemma: increasing areal capacity and reducing electrode porosity to boost energy density often reduces rate capability due to a longer and more tortuous ion transfer path.
Lithium-ion batteries (LIBs) have nowadays become outstanding rechargeable energy storage devices with rapidly expanding fields of applications due to convenient features like high energy density, high power density, long life cycle and not having memory effect.
Early LIBs exhibited around two-fold energy density (200 WhL −1) compared to other contemporary energy storage systems such as Nickel-Cadmium (Ni Cd) and Nickel-Metal Hydride (Ni-MH) batteries .
In this present work, a battery thermal management system design is presented using ANSYS Fluent and adaptive elephant herding optimization algorithm for optimizing the …
In this study, we introduce a computational framework using generative AI to …
Optimization of a single lithium-ion battery cell with a gradient-based …
Gaonkar A, Valladares H, Tovar A, Zhu L, El-Mounayri H. Multi-Objective Bayesian Optimization of Lithium-Ion Battery Cells for Electric Vehicle Operational Scenarios. …
Sukanya et al. (2021) proposed a dynamic prediction method of SOC (state …
Optimization of a single lithium-ion battery cell with a gradient-based algorithm. Journal of the Electrochemical Society, 160 (8), A1071–A1078. Article Google Scholar
The lithium-ion battery is a kind of energy storage device widely used in electric vehicles. An efficient and optimal charging strategy is the premise of its extensive use. In this article, a …
The development of lithium-ion batteries (LIBs) based on current practice allows an energy density increase estimated at 10% per year. However, the required power for …
In this study, we introduce a computational framework using generative AI to optimize lithium-ion battery electrode design. By rapidly predicting ideal manufacturing …
In this study, optimization to maximize the specific energy density of a cell is …
Subsequently, a multi-objective optimization is conducted to identify the optimal cell design parameters that achieve a balance between 0.1C discharge energy density, 10-min …
Optimization of a single lithium-ion battery cell with a gradient-based algorithm. J Electrochem Soc, 160 (8) (2013), pp. A1071-A1078. Crossref View in Scopus Google Scholar …
Reliability optimization has always been an important topic in the application of lithium-ion batteries in electric vehicles. To optimize the redundancy and layout design of …
Numerous charging methods have been reported in the literature, with various objectives, e.g., increasing charging speed, enhancing charging performance, and maximizing …
Li-ion batteries are widely used in electrical devices and energy storage systems because of their high energy density, good cycle-life performance, and low self-discharge rate …
Sukanya et al. (2021) proposed a dynamic prediction method of SOC (state of charge) and SOH estimation algorithm, which is applied to guide charging optimization. Since …
The state of health (SOH) of lithium-ion batteries is an important indicator for evaluating the degradation of battery performance, which is crucial in battery management …
In this study, optimization to maximize the specific energy density of a cell is conducted using the LIB electrochemical model and sequential approximate optimization (SAO).
Abstract: As a favorable energy storage component, lithium-ion (Li-ion) battery has been widely used in the battery energy storage systems (BESS) and electric vehicles …
Lithium-ion batteries (LIBs) have nowadays become outstanding rechargeable energy storage devices with rapidly expanding fields of applications due to convenient features …
To maximize the use of explicit features and automate its construction and other configuration processes, this article design a unified optimization paradigm for synergizing the …
Similar optimization approaches have been confirmed as a strong tool to advance lithium-ion battery research. [ 28 - 33 ] This study contributes to the accelerated …