Showing papers on "Lithium-ion battery published in 2022"
TL;DR: In this paper , an improved feedforward-long short-term memory (FF-LSTM) modeling method is proposed to realize an accurate whole-life-cycle state of charge (SOC) prediction by effectively considering the current, voltage, and temperature variations.
105 citations
TL;DR: In this paper, a unique recycling strategy is proposed to achieve the concurrent reuse of cathode and anode in the spent graphite/LiFePO4 batteries, and a unique cathode composed of recycled LFP/graphite (RLFPG) with cation/anion-co-storage ability is designed for new-type dual-ion battery (DIB).
68 citations
TL;DR: In this article , the authors review prior work on knee degradation in lithium-ion battery aging trajectories and identify key design and usage sensitivities for knees, and discuss challenges and opportunities for knee modeling and prediction.
Abstract:
Lithium-ion batteries can last many years but sometimes exhibit rapid, nonlinear degradation that severely limits battery lifetime. Here, we review prior work on “knees” in lithium-ion battery aging trajectories. We first review definitions for knees and three classes of “internal state trajectories” (termed snowball, hidden, and threshold trajectories) that can cause a knee. We then discuss six knee “pathways”, including lithium plating, electrode saturation, resistance growth, electrolyte and additive depletion, percolation-limited connectivity, and mechanical deformation, some of which have internal state trajectories with signals that are electrochemically undetectable. We also identify key design and usage sensitivities for knees. Finally, we discuss challenges and opportunities for knee modeling and prediction. Our findings illustrate the complexity and subtlety of lithium-ion battery degradation and can aid both academic and industrial efforts to improve battery lifetime.
68 citations
TL;DR: In this article , the phase change material (PCM) is used to cool the battery cell by passive or hybrid cooling technique which not only sustains the battery temperature but also leads to prolongment of battery life and improvement in its performance.
67 citations
TL;DR: A novel ISC diagnostic method leveraging polarization dynamics instead of the conventional charge depletion is proposed within a model-switching framework to mitigate the adverse effect of measurement disturbances and contribute to an unbiased estimation of the ISC resistance.
Abstract: The accurate diagnostic of internal short circuit (ISC) is critical to the safety of lithium-ion battery (LIB), considering its consequence to disastrous thermal runaway. Motivated by this, this article proposes a novel ISC diagnostic method with a high robustness to measurement disturbances and the capacity fading. Particularly, a multistate-fusion ISC diagnostic method leveraging polarization dynamics instead of the conventional charge depletion is proposed within a model-switching framework. This is well-proven to eliminate the vulnerability of diagnostic to battery aging. Within this framework, the recursive total least squares method with variant forgetting is exploited, for the first time, to mitigate the adverse effect of measurement disturbances, which contributes to an unbiased estimation of the ISC resistance. The proposed method is validated both theoretically and experimentally for high diagnostic accuracy as well as the strong robustness to battery degradation and disturbance.
65 citations
TL;DR: In this paper , the authors discuss the environmental pollution from critical materials loss from spent automotive lithium-ion batteries (LIBs) is a major global concern and present a solution to this problem.
Abstract: Environmental pollution from critical materials loss from spent automotive lithium-ion batteries (LIBs) is a major global concern. Practical LIBs recycling obviates pollution, saves resources and boosts sustainability. However, despite increasing...
56 citations
TL;DR: Li et al. as mentioned in this paper proposed a hybrid method to achieve stable and real-time battery state of charge (SOC) estimation at different temperatures, composed of an Improved Bidirectional Gated Recurrent Unit (IBGRU) network and Unscented Kalman filtering (UKF).
55 citations
TL;DR: In this paper , a unique recycling strategy is proposed to achieve the concurrent reuse of cathode and anode in the spent graphite/LiFePO4 batteries, and a unique cathode composed of recycled LFP/graphite (RLFPG) with cation/anion-co-storage ability is designed for new-type dual-ion battery (DIB).
53 citations
TL;DR: In this article , a monolithic three-dimensional (3D) large-sheet Holey Graphene framework/SiO composite for high-mass-loading electrode is presented.
Abstract: Abstract Silicon monoxide (SiO) is an attractive anode material for next-generation lithium-ion batteries for its ultra-high theoretical capacity of 2680 mAh g −1 . The studies to date have been limited to electrodes with a relatively low mass loading (< 3.5 mg cm −2 ), which has seriously restricted the areal capacity and its potential in practical devices. Maximizing areal capacity with such high-capacity materials is critical for capitalizing their potential in practical technologies. Herein, we report a monolithic three-dimensional (3D) large-sheet holey graphene framework/SiO (LHGF/SiO) composite for high-mass-loading electrode. By specifically using large-sheet holey graphene building blocks, we construct LHGF with super-elasticity and exceptional mechanical robustness, which is essential for accommodating the large volume change of SiO and ensuring the structure integrity even at ultrahigh mass loading. Additionally, the 3D porous graphene network structure in LHGF ensures excellent electron and ion transport. By systematically tailoring microstructure design, we show the LHGF/SiO anode with a mass loading of 44 mg cm −2 delivers a high areal capacity of 35.4 mAh cm −2 at a current of 8.8 mA cm −2 and retains a capacity of 10.6 mAh cm −2 at 17.6 mA cm −2 , greatly exceeding those of the state-of-the-art commercial or research devices. Furthermore, we show an LHGF/SiO anode with an ultra-high mass loading of 94 mg cm −2 delivers an unprecedented areal capacity up to 140.8 mAh cm −2 . The achievement of such high areal capacities marks a critical step toward realizing the full potential of high-capacity alloy-type electrode materials in practical lithium-ion batteries.
51 citations
47 citations
TL;DR: An RDE estimation method based on the future load prediction considering battery temperature and ageing effects is proposed, and a battery simulation driving condition is constructed using the real vehicle speed to verify the effectiveness of the proposed method in complex conditions.
TL;DR: In this paper , a monolithic three-dimensional (3D) large-sheet Holey Graphene framework/SiO composite for high-mass-loading electrode is presented.
Abstract: Abstract Silicon monoxide (SiO) is an attractive anode material for next-generation lithium-ion batteries for its ultra-high theoretical capacity of 2680 mAh g −1 . The studies to date have been limited to electrodes with a relatively low mass loading (< 3.5 mg cm −2 ), which has seriously restricted the areal capacity and its potential in practical devices. Maximizing areal capacity with such high-capacity materials is critical for capitalizing their potential in practical technologies. Herein, we report a monolithic three-dimensional (3D) large-sheet holey graphene framework/SiO (LHGF/SiO) composite for high-mass-loading electrode. By specifically using large-sheet holey graphene building blocks, we construct LHGF with super-elasticity and exceptional mechanical robustness, which is essential for accommodating the large volume change of SiO and ensuring the structure integrity even at ultrahigh mass loading. Additionally, the 3D porous graphene network structure in LHGF ensures excellent electron and ion transport. By systematically tailoring microstructure design, we show the LHGF/SiO anode with a mass loading of 44 mg cm −2 delivers a high areal capacity of 35.4 mAh cm −2 at a current of 8.8 mA cm −2 and retains a capacity of 10.6 mAh cm −2 at 17.6 mA cm −2 , greatly exceeding those of the state-of-the-art commercial or research devices. Furthermore, we show an LHGF/SiO anode with an ultra-high mass loading of 94 mg cm −2 delivers an unprecedented areal capacity up to 140.8 mAh cm −2 . The achievement of such high areal capacities marks a critical step toward realizing the full potential of high-capacity alloy-type electrode materials in practical lithium-ion batteries.
TL;DR: Li et al. as discussed by the authors proposed a multistage SOH estimation method with a broad scope of applications, including the unfavorable but practical scenarios of heavily partial charging, and extracted different sets of health indicators (HIs), covering both the morphological incremental capacity features and the voltage entropy information, from the partial constant-current charging data with different initial charging voltages to characterize the aging status.
Abstract: State of health (SOH) is critical to the management of lithium-ion batteries (LIBs) due to its deep insight into health diagnostic and protection. However, the lack of complete charging data is common in practice, which poses a challenge for the charging-based SOH estimators. This article proposes a multistage SOH estimation method with a broad scope of applications, including the unfavorable but practical scenarios of heavily partial charging. In particular, different sets of health indicators (HIs), covering both the morphological incremental capacity features and the voltage entropy information, are extracted from the partial constant-current charging data with different initial charging voltages to characterize the aging status. Following this endeavor, artificial neural network based HI fusion is proposed to estimate the SOH of LIB precisely in real time. The proposed method is evaluated with long-term aging experiments performed on different types of LIBs. Results validate several superior merits of the proposed method, including high estimation accuracy, high tolerance to partial charging, strong robustness to cell inconsistency, and wide generality to different battery types.
TL;DR: In this article , a multistate-fusion internal short circuit (ISC) diagnostic method leveraging polarization dynamics instead of the conventional charge depletion is proposed within a model-switching framework.
Abstract: The accurate diagnostic of internal short circuit (ISC) is critical to the safety of lithium-ion battery (LIB), considering its consequence to disastrous thermal runaway. Motivated by this, this article proposes a novel ISC diagnostic method with a high robustness to measurement disturbances and the capacity fading. Particularly, a multistate-fusion ISC diagnostic method leveraging polarization dynamics instead of the conventional charge depletion is proposed within a model-switching framework. This is well-proven to eliminate the vulnerability of diagnostic to battery aging. Within this framework, the recursive total least squares method with variant forgetting is exploited, for the first time, to mitigate the adverse effect of measurement disturbances, which contributes to an unbiased estimation of the ISC resistance. The proposed method is validated both theoretically and experimentally for high diagnostic accuracy as well as the strong robustness to battery degradation and disturbance.
TL;DR: In this paper , a hybrid approach to forecasting battery future capacity and remaining useful life is proposed by combining the improved variational modal decomposition (VMD), particle filter (PF) and gaussian process regression (GPR), where the VMD algorithm is employed to decompose the recorded battery capacity data into an aging trend sequence and several residual sequences, where the number of modal layers is produced by the posterior feedback confidence (PFC) method.
Abstract: Accurate prediction of remaining useful life (RUL) is of critical significance to the safety and reliability of lithium-ion batteries, which can offer efficient early warning signals for failure. Due to the complicated aging mechanism and realistic noise operation environment, direct predicting RUL with the measured data recorded in practice is challenging. In this work, a novel hybrid approach to forecasting battery future capacity and RUL is proposed by combining the improved variational modal decomposition (VMD), particle filter (PF) and gaussian process regression (GPR). The VMD algorithm is employed to decompose the recorded battery capacity data into an aging trend sequence and several residual sequences, where the number of modal layers is produced by the proposed posterior feedback confidence (PFC) method. The prediction models of PF and GPR algorithm are then respectively established to predict the aging trend sequence and residual sequences. Future capacity and RUL prediction experiments for battery pack and battery cells are performed to verify the effectiveness of the proposed hybrid approach, and the compared experiment results demonstrate that the proposed approach offers wide generality and reduced errors.
TL;DR: In this article , an RDE estimation method based on the future load prediction considering battery temperature and ageing effects is proposed, in which the hidden Markov model (HMM) is implemented to predict the battery load and the capacity test at different temperatures is conducted to determine the limited state-of-charge (SOC) in the prediction field.
TL;DR: In this paper , a systematical review of recent advancements in electrochemical model development and parameterization is presented, where the classic pseudo-two-dimensional model and related model order reduction methodologies are summarized and analyzed.
TL;DR: In this paper, a novel GPE with chemically bonded flame retardant (i.e. diethyl vinylphosphonate) in cross-linked polyethylene glycol diacrylate matrix, featuring both high safety and high performance, is designed.
TL;DR: Li et al. as mentioned in this paper proposed a new nonlinear health evaluation indicator SoNA and two quantification methods, the full-lifespan health status of lithium-ion batteries under different aging paths can be graded and evaluated.
TL;DR: In this article, a two-sided cold plate hybrid thermal management system was proposed and evaluated from the economic and engineering perspectives, which can reduce the maximum temperature from ∼ 64 ∘ C to 46.3 ǫ C with acceptable system weight and power consumption.
TL;DR: In this article , a phase field fracture framework was proposed to predict the void-driven fracture in the electrode particles of a realistic battery electrode microstructure, and the model enables prediction of increased cracking due to enlarged cycling voltage windows, cracking susceptibility as a function of electrode thickness, and damage sensitivity to discharge rate.
TL;DR: In this paper , a novel early internal short circuit (ISC) diagnosis method based on the incremental capacity (IC) curves is proposed, where the leakage current of the battery can be obtained by the area difference between the normal cell and the ISC cell, and it can be converted into the IC resistance.
TL;DR: Li3PO4 coating Li0.83Co 0.06O2 composite powders is successfully synthesized by first doping Mg2+ into LiNi 0.98Mg0.01Ni0.11Mn0.
TL;DR: In this paper , the cooling of an 18,650 cylindrical lithium-ion battery is examined by placing the fin on its surface and immersing it in the phase change material.
Abstract: In this paper, the cooling of an 18,650 cylindrical lithium-ion battery is examined. This cell is evaluated by placing the fins on its surface and immersing it in the phase change material. The sensitivity analysis is performed on the dimensions of the fins and their effect on the TMax of the cylindrical lithium-ion battery and the melting rate of the phase change material is investigated. First, the equations governing are solved. Then, the sensitivity analysis of the fin dimensions is done using the response surface method. Finally, an optimal model is provided for use the heat management system. The results of this study show that the use of phase change material and placing the fins on the cylindrical lithium-ion battery reduce its surface temperature. Sensitivity analysis shows that the length of the fins has a greater effect on the reduction of surface temperature. An increment in the fin size (increasing the height and width of the fins) enhances the average amount of liquid phase change material during the charging process as well as when it is fully charged. Enhancing the distance between the fins also intensifies the amount of liquid phase change material. An increase in the fin height reduces the amount of cylindrical lithium-ion battery temperature during the charging process. Increasing the fin width, however, first decreases and then increases the temperature.
TL;DR: In this paper, the authors developed a process to realize the full-component recovery of spent LiCoO2 battery via environmentally friendly pyrolysis and hydrometallurgical leaching.
Abstract: LiCoO2 (LCO) lithium-ion battery (LIB) is rich in valuable metals (cobalt and lithium), which has high recycling value. The existing process has basically realized the extraction of cobalt, but there are still shortcomings in harmless disposal of fluorine-containing electrolyte, binder and other organic matters, selective extraction of lithium and low-cost extraction of cobalt. In this context, a novel process was developed to realize the full-component recovery of spent LiCoO2 battery via environmentally friendly pyrolysis and hydrometallurgical leaching. The organic matters were recovered in the form of pyrolytic oil and gas, in which the harmful fluorine element was absorbed by Ca(OH)2 solution. The current collectors (copper and aluminum) were recovered after the easy separation of electrode materials due to the degradation of binders. During pyrolysis the cathode material was deconstructed and reduced under the synergistic effect of pyrolytic gas and anode graphite. Selective recovery of lithium and cobalt was achieved through carbonated water leaching and reductant-free acid leaching. The leaching efficiencies of lithium and cobalt were respectively 87.9% and 99.1% under the optimal conditions. Lithium carbonate and cobalt sulfate were obtained by evaporative crystallization, respectively. The remaining residue was only graphite without impurity entrainment. The results in this research suggest that the process consisting of pyrolysis and hydrometallurgical leaching is inexpensive, efficient, and eco-friendly for full-component recycling of spent LiCoO2 battery.
TL;DR: In this article , a cylindrical battery is submerged in a phase change materials (PCM)-filled chamber and several fins of the same length are placed on the battery to find the ideal battery compartment size and fin count to lower maximum battery temperature during the discharging process.
Abstract: The use of phase change materials (PCMs) for cooling lithium-ion batteries is examined in this research. Because of the unique benefits of lithium-ion batteries, their use in electric cars has gotten a lot of attention. The lithium-ion battery is one of the most extensively utilized components as the heart of a hybrid car. These batteries generate a lot of heat while charging or discharging. If the batteries are not correctly handled, their life will be drastically shortened. In this study, a cylindrical battery is submerged in a PCM-filled chamber. Several fins of the same length are placed on the battery. The aim is to find the ideal battery compartment size and fin count to lower maximum battery temperature during the discharging process. COMSOL Multiphysics commercial software is used for the simulations. The results show that the battery with 15 fins has the best PCM melting performance at the beginning of cooling process. After one third of the cooling time, the maximum melting of PCM that is equal to 26.159% takes place. Also, in the entire cooling process, the lowest maximum temperature and the maximum volume fraction of the liquid occur when the number of fins is 9. The battery temperature rises as the number of fins increases beyond nine. Furthermore, an enclosure with the lowest maximum temperature is supplied to enclosure the lithium-ion battery.
TL;DR: In this paper, a heteroatom-refilling strategy has been proposed with the example of refilling oxygen in nitrogen-deficient g-C3N4, which shows not only improved conductivity but also superior electrochemical performance.
TL;DR: In this paper, the integration of metal oxides and sulfides in carbon nanofibers, rather than using them with other binders, eliminates many problems caused by poor adhesion, nanomaterial agglomeration, excess mass contributed by inactive binders and low conductivity of embedded active materials.
TL;DR: Wang et al. as mentioned in this paper used back propagation neural network optimized by genetic algorithm to predict state of health of lithium-ion battery in total lifespan, including cycle life of new batteries, second-life use after being retired, and residual capacity of retired batteries.
Abstract: • Aging mechanisms of LIB in total lifespan are revealed. • SOH prediction of total lifespan is conducted based on a prediction technique. • Capacity detection technique and use strategy of retired LIBs are recommended. In this study, aging mechanisms and state of health prediction of lithium-ion battery in total lifespan are investigated. Battery capacity fading can be divided into three stages: stable capacity fading, fast capacity fading, and repetition between capacity increase and decrease. Incremental capacity analysis and electrochemical impedance spectroscopy are used to study relevant aging mechanisms. In the first stage, aging mechanisms that affect lithium-ion batteries include loss of lithium and loss of active material at the negative and positive electrode. In the second stage, the aging mechanisms are loss of lithium and loss of active material at the negative electrode. In the third stage, the loss of lithium is recovered to increase capacity. Finally, back propagation neural network optimized by genetic algorithm is used to predict state of health of lithium-ion battery in total lifespan, including cycle life of new batteries, second-life use after being retired, and residual capacity of retired batteries.
TL;DR: In this article , a particle size and electrode porosity dual-gradient structure design in the graphite anode for achieving extremely fast-charging lithium ion battery under strict electrode conditions was presented, achieving 60% recharge in 6 min and high volumetric energy density of 701 Wh liter−1 at the high charging rate of 6 C.
Abstract: Extremely fast-charging lithium-ion batteries are highly desirable to shorten the recharging time for electric vehicles, but it is hampered by the poor rate capability of graphite anodes. Here, we present a previously unreported particle size and electrode porosity dual-gradient structure design in the graphite anode for achieving extremely fast-charging lithium ion battery under strict electrode conditions. We develop a polymer binder–free slurry route to construct this previously unreported type particle size-porosity dual-gradient structure in the practical graphite anode showing the extremely fast-charging capability with 60% of recharge in 10 min. On the basis of dual-gradient graphite anode, we demonstrate extremely fast-charging lithium ion battery realizing 60% recharge in 6 min and high volumetric energy density of 701 Wh liter−1 at the high charging rate of 6 C.