| 1. |
- Wu, Xiaohua, et al.
(författare)
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Online Adaptive Model Identification and State of Charge Estimation for Vehicle-Level Battery Packs
- 2024
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Ingår i: IEEE Transactions on Transportation Electrification. - 2332-7782. ; 10:1, s. 596-607
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Tidskriftsartikel (refereegranskat)abstract
- Accurate state of charge (SOC) estimation of traction batteries plays a crucial role in energy and safety management for electric vehicles. Existing studies focus primarily on cell battery SOC estimation. However, numerical instability and divergence problems might occur for a large-size lithium-ion battery pack consisting of many cells. This paper proposes a high-performance online model identification and SOC estimation method based on an adaptive square root unscented Kalman filter (ASRUKF) and an improved forgetting factor recursive least squares (IFFRLS) for vehicle-level traction battery packs. The model parameters are identified online through the IFFRLS, where the conventional method might encounter numerical stability problems. By updating the square root of the covariance matrix, the divergence problem in the traditional unscented Kalman filter is solved in the ASRUKF algorithm, where the positive semi-definiteness of the covariance matrix is guaranteed. Combined with the adaptive noise covariance matched filtering algorithm and real-time compensation of system error, the proposed method solves the problem of ever-degrading estimation accuracy in the presence of time-varying noise with unknown statistical characteristics. Using a 66.2-kWh vehicle battery pack, we experimentally verified that the proposed algorithm could achieve high estimation accuracy with guaranteed numerical stability. The maximum error of SOC estimation can be bounded by 1%, and the root-mean-square error is as low as 0.47% under real-world vehicle operating conditions.
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| 2. |
- Guo, Jiawei, et al.
(författare)
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Bimetallic Sulfides with Vacancy Modulation Exhibit Enhanced Electrochemical Performance
- 2024
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Ingår i: Advanced Functional Materials. - 1616-3028 .- 1616-301X. ; 34:28
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Tidskriftsartikel (refereegranskat)abstract
- Transition bimetallic sulfides show significant promise for energy-related applications because of their plentiful active sites and synergistic redox activity. However, limited pore size and low-conductivity issues hinder their application. The structure of NiCo-S with rich sulfur vacancies is first predicted by density functional theory (DFT) calculations. Different sulfur vacancy concentrations are modeled by DFT calculations, and the results confirm that sulfur vacancies enhance the conductivity of the electrode material and are more beneficial for the adsorption of OH* species. It is verified by the differential charge density that the electric field formed on the surface of the electrode can lead to strong interfacial interactions by electron aggregation, which promotes electron/ion transfer kinetics. Furthermore, NiCo-S nanosheets are prepared on carbon cloth enriched with different concentrations of sulfur vacancies (denoted as NiCo-Sv-x, with x representing the concentration of sulfur vacancies) by sulfide etching NiCo-MOF and annealing under H2/Ar atmosphere. The NiCo-Sv-x electrodes obtained are applied to the cathode of supercapacitors and the anode of the oxygen evolution reaction. Through combining experimental and theoretical analysis, the effect of vacancy defect engineering on the electrochemical performance of the electrode materials is further confirmed. This work constructs transition metal sulfides with different sulfur vacancy concentrations through DFT model prediction and experimental validation, further confirming the effect of vacancy defect engineering on the electrochemical performance of electrode materials. Therefore, this modulation of sulfur vacancy concentration by vacancy defects contributes to the construction of electrode materials with excellent performance for energy applications.
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| 3. |
- Guo, Jia Wei, et al.
(författare)
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2D Co metal-organic framework nanosheet as an oxidase-like nanozyme for sensitive biomolecule monitoring
- 2023
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Ingår i: Rare Metals. - : Springer Science and Business Media LLC. - 1001-0521 .- 1867-7185. ; 42:3, s. 797-805
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Nanozyme-based biomolecules sensitive and quantitative detection is an attractive strategy due to their high chemical, thermal stability and reactive activity. Here, we have synthesized a significant number of two-dimensional (2D) cobalt-metal-organic framework (Co-MOF) nanosheets with oxidase (OXD)-like activity using a facile solvothermal method in one pot for biomolecule monitoring. The synthesized Co-MOF nanosheets exhibit strong stability, higher specific surface area and more active sites due to their MOF structure. Such Co-MOF nanosheets with excellent OXD-like activity show adequate analytical performance in the quantitative determination of dopamine (DA) and glutathione (GSH) with a wider dynamic sensing range and lower detection limits (DA and GSH: 0.24 and 0.067 μmol·L−1, 3σ/slope, where σ is standard deviation of the blank). This work extends the application of 2D-MOF structures in bioassays and brings new insights into the application of OXD-like nanozymes in bioassays. Graphical abstract: [Figure not available: see fulltext.]
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| 4. |
- Guo, Wenchao, et al.
(författare)
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Early diagnosis of battery faults through an unsupervised health scoring method for real-world applications
- 2024
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Ingår i: IEEE Transactions on Transportation Electrification. - 2332-7782. ; 10:2, s. 2521-2532
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Tidskriftsartikel (refereegranskat)abstract
- Battery fault diagnosis is critical to ensure the safe and reliable operation of electric vehicles or energy storage systems. Early diagnosis of battery faults can enable timely maintenance and reduce potential accidents. However, the lead time for detection is still relatively insufficient, and the identification of target vehicle with unidentified fault type has generally been neglected. To fill the gap, an unsupervised health scoring method for early diagnosis of battery faults is proposed in this paper. First, considering the properties of field data, new features and four types of feature sets related to battery health and fault status are derived for each cell. Then, a novel strategy is proposed to transform a typical classification problem into a quantitative scoring problem by performing multiple clustering. To produce ample clustering results, three cluster algorithms based on different principles are used and the features are randomly divided into feature subsets. By coupling temperature information, early determination of thermal runaway faults can be achieved. Finally, the real-world cloud data of three typical accidents are employed for verification, the results indicate that the proposed approach can innovatively achieve the detection of the abnormal cells at the level of days in advance, demonstrating excellent performance.
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| 5. |
- Guo, Wenchao, et al.
(författare)
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Rapid online health estimation for lithium-ion batteries based on partial constant-voltage charging segment
- 2023
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Ingår i: Energy. - 0360-5442 .- 1873-6785. ; 281
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Tidskriftsartikel (refereegranskat)abstract
- Battery health evaluation is vital for ensuring the security and reliability of lithium-ion batteries. However, the currently proposed methods generally require high-quality input data for feature extraction in online applications. To overcome this obstacle, this paper proposes a rapid online health estimation method only based on partial constant-voltage (CV) charging segment. Firstly, through primary analysis of battery test data, the evolution of CV charging current is confirmed to be correlated with battery capacity. Subsequently, the current evolution constant of CV charging phase is mathematically formulated and quantitatively characterized using a novel health indicator (HI). Besides, charging time and charging capacity are also extracted as HIs to comprehensively capture the CV charging behavior and enhance the robustness of data-driven models. Considering the user's charging habits, an optimized CV segment is determined, enabling a significant reduction in data size and coverage. Finally, three data-driven methods are employed to construct health estimation models by using the extracted HIs, and the best performance is achieved by Gaussian process regression with MAE and RMSE lower than 0.8% and 1%, respectively. Remarkably, the proposed method demonstrates superiority in dealing with sparse sampling, and satisfactory results with 2.9% error under the sparsity of 10 s are obtained.
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| 6. |
- Liu, Lin, et al.
(författare)
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Research progress in the application of MXene in bacterial detection and eradication
- 2024
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Ingår i: Materials Today Physics. - 2542-5293. ; 43
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Forskningsöversikt (refereegranskat)abstract
- Infections stemming from pathogenic bacteria pose a notable menace to public health. Traditional strategies for bacterial detection and management frequently confront hurdles such as sensitivity constraints and antibiotic resistance. This review embarks on an exploration of the synthesis techniques and inherent structural traits of MXenes. An array of fabrication approaches spanning both top-down and bottom-up paradigms is meticulously examined. Subsequently, attention shifts to the formulation of bacterial detection sensors. Electrochemical, fluorescent, and dual-modal sensors are critically examined, elucidating how MXenes elevate the precision and sensitivity of bacterial detection. Notably, the potential for MXenes to identify chiral molecules is underscored. The segment dedicated to antibacterial mechanisms and applications dissects MXenes' effectiveness in eradicating bacterial agents. Mechanisms encompassing physical harm, photothermally-driven sterilization, and reactive oxygen species -induced sterilization are expounded upon. Additionally, the practical utilization of MXene-based nanomaterials in water purification and antibacterial interventions is succinctly outlined. Prospects on the horizon are evaluated, spotlighting the persistent trajectory of research and development in this dynamic sphere. Ultimately, at its essence, this comprehensive review offers a panoramic perspective of the substantial advancements achieved in MXene-based research for bacterial identification and eradication.
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| 7. |
- Qiao, Yuanyuan, et al.
(författare)
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A hybrid Markov-based model for human mobility prediction
- 2018
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Ingår i: Neurocomputing. - : Elsevier BV. - 0925-2312 .- 1872-8286. ; 278:SI, s. 99-109
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Tidskriftsartikel (refereegranskat)abstract
- Human mobility behavior is far from random, and its indicators follow non-Gaussian distributions. Predicting human mobility has the potential to enhance location-based services, intelligent transportation systems, urban computing, and so forth. In this paper, we focus on improving the prediction accuracy of non-Gaussian mobility data by constructing a hybrid Markov-based model, which takes the non-Gaussian and spatio-temporal characteristics of real human mobility data into account. More specifically, we (1) estimate the order of the Markov chain predictor by adapting it to the length of frequent individual mobility patterns, instead of using a fixed order, (2) consider the time distribution of mobility patterns occurrences when calculating the transition probability for the next location, and (3) employ the prediction results of users with similar trajectories if the recent context has not been previously seen. We have conducted extensive experiments on real human trajectories collected during 21 days from 3474 individuals in an urban Long Term Evolution (LTE) network, and the results demonstrate that the proposed model for non-Gaussian mobility data can help predicting people’s future movements with more than 56% accuracy.
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| 8. |
- Wang, Longwei, et al.
(författare)
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A Molybdenum Disulfide Nanozyme with Charge-Enhanced Activity for Ultrasound-Mediated Cascade-Catalytic Tumor Ferroptosis
- 2023
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Ingår i: Angewandte Chemie - International Edition. - : Wiley. - 1433-7851 .- 1521-3773. ; 62:11
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Tidskriftsartikel (refereegranskat)abstract
- The deficient catalytic activity of nanozymes and insufficient endogenous H2O2 in the tumor microenvironment (TME) are major obstacles for nanozyme-mediated catalytic tumor therapy. Since electron transfer is the basic essence of catalysis-mediated redox reactions, we explored the contributing factors of enzymatic activity based on positive and negative charges, which are experimentally and theoretically demonstrated to enhance the peroxidase (POD)-like activity of a MoS2 nanozyme. Hence, an acidic tumor microenvironment-responsive and ultrasound-mediated cascade nanocatalyst (BTO/MoS2@CA) is presented that is made from few-layer MoS2 nanosheets grown on the surface of piezoelectric tetragonal barium titanate (T-BTO) and modified with pH-responsive cinnamaldehyde (CA). The integration of pH-responsive CA-mediated H2O2 self-supply, ultrasound-mediated charge-enhanced enzymatic activity, and glutathione (GSH) depletion enables out-of-balance redox homeostasis, leading to effective tumor ferroptosis with minimal side effects.
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| 9. |
- Wang, Longwei, et al.
(författare)
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Construction of S-N-C bond for boosting bacteria-killing by synergistic effect of photocatalysis and nanozyme
- 2023
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Ingår i: Applied Catalysis B: Environmental. - : Elsevier BV. - 0926-3373 .- 1873-3883. ; 325
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Tidskriftsartikel (refereegranskat)abstract
- Bacterial infection-related diseases are major public safety issues leads to millions of deaths annually. Herein, a porous sulfur doped graphitic carbon nitride (g-SCN) for ecofriendly, metal-free and low systemic toxicity were synthesized. Sulfur doping enables to broaden the absorption spectrum and promote the photocarriers separation for photocatalysis enhancement. Moreover, sulfur element will coordinate with nitrogen, changing the electronic state and endowing g-SCN with the property of nanozyme. More importantly, we established different models and confirmed that S-N-C coordination is the source of peroxidase (POD)-like activity through theory and experiment. The increased specific surface area of g-SCN, ascribing to the porous structure, makes it easier to trap bacteria. With the synergistic effect of photocatalysis and nanozyme, the prepared g-SCN has the ability to kill both gram-negative and gram-positive bacterium, with an antibacterial efficiency up to 100%. This work provides innovative synergistic strategy for constructing nanomaterials for highly efficient antibacterial therapy.
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| 10. |
- Wang, Longwei, et al.
(författare)
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Regulation of functional groups enable the metal-free PDINH/GO advisable antibacterial photocatalytic therapy
- 2023
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Ingår i: Chemical Engineering Journal. - : Elsevier BV. - 1385-8947. ; 451
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Tidskriftsartikel (refereegranskat)abstract
- N-type organic semiconductor perylene-3,4,9,10-tetracarboxylic acid diimide (PDINH) are well-investigated photocatalyst. However, the photocatalytic potential for antibacterial therapy has been underexplored owing to the insufficient light absorption and rapid recombination of light-induced carriers. Herein, functional group-regulated is introduced by recrystallizing PDINH on the surface of GO in situ, endowing the PDINH/GO with enhanced photocatalytic properties, which harvest light energy across the full spectrum form ultraviolet to near-infrared. Simultaneously, the enhanced photogenerated carriers can activate Lewis base of GO to form an amide bond on the interface between bacteria and material, exhibiting high-efficient and steady bacteria trap. Compared with PDINH, both in vitro and in vivo all demonstrated PDINH/GO possess excellent antibacterial effect. In addition, as a non-metallic semiconductor, PDINH/GO shows capacity of enhancing epidermal cells proliferation and migration, resulting in successful infectious wound regeneration in mice and the side effects in vivo are negligible. Such the integration of wide-spectrum response, high efficiency of carrier separation, intentional bacterial capture and accelerated would healing of PDINH/GO not only enables an effective antibacterial therapy but also contributes to a successful example to activate nanomaterials by regulation of functional groups.
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