Organic acid assisted solid-state synthesis of Li1.2Ni0.16Co0.08Mn0.56O2 nanoparticles as lithium ion battery cathodes

Chenhao Zhao,Qiang Shen 한국물리학회 2014 Current Applied Physics Vol.14 No.12

Lithium-rich layered oxide Li1.2Ni0.16Co0.08Mn0.56O2 can be referred as a crystalline mixture of Li2MnO3 and LiNi0.4Co0.2Mn0.4O2 at equal molar ratio. In the paper, the solid state reaction of M(AC)2$4H2O (M ¼ Mn, Co and Ni) and LiOH$H2O has been performed to obtain nanocrystalline Li1.2Ni0.16- Co0.08Mn0.56O2 using a small molecular organic acid (i.e., oxalic acid (OA), citric acid (CA) or tartaric acid (TA)) as additive. The introduction of organic acids can help to improve the layered structure and inhibit the particle growth of Li1.2Ni0.16Co0.08Mn0.56O2, and the different organic acids exert distinct influences on the structural and electrochemical properties of Li1.2Ni0.16Co0.08Mn0.56O2. In detail, the nanoparticles obtained in the presence of OA have the smallest average size of 50e150 nm, which correspondingly exhibit the highest initial discharge capacity of 267.52 mAh g1 at 0.1C and the best high-rate capability (e.g., 152.22 mAh g1, 5C) when applied as a lithium ion battery cathode. Furthermore, the active substance obtained from TA shows the best cycling stability and a discharge capacity of 202.42 mAh g1 can be retained after 50 cycles at 0.5C.

Improved Beta parameter based MPPT method in Photovoltaic system

Xingshuo Li,Huiqing Wen,Chenhao Zhao 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

Maximum power point tracking(MPPT) is very important in relation to solar energy development. Currently, there are two problems facing the existing MPPT methods namely the tradeoff between the steady-state oscillations and dynamic behavior, and then the tradeoff between high computational load and accuracy. The Beta method can address these two problems since it shows a fast tracking speed in the transient stage, smaller oscillations in the steady-state and medium complexity of implementation. However, for optimal performance, it is essential to identify the configuration of the parameters with regard to the Beta method. Therefore, paper will examine the different performance level with the different values of the parameters, and then will provide an optimum example. In order to verify this procedure, a boost converter was proposed in MatLab/Simulink for simulation. Finally, an experimental prototype was constructed with a solar array emulator and DSPACE.

Sulforaphane Ameliorates Diabetes-Induced Renal Fibrosis through Epigenetic Up-Regulation of BMP-7

Lili Kong,Hongyue Wang,Chenhao Li,Huiyan Cheng,Yan Cui,Li Liu,Ying Zhao 대한당뇨병학회 2021 Diabetes and Metabolism Journal Vol.45 No.6

Background: The dietary agent sulforaphane (SFN) has been reported to reduce diabetes-induced renal fibrosis, as well as inhibit histone deacetylase (HDAC) activity. Bone morphologic protein 7 (BMP-7) has been shown to reduce renal fibrosis induced by transforming growth factor-beta1. The aim of this study was to investigate the epigenetic effect of SFN on BMP-7 expression in diabetes-induced renal fibrosis.Methods: Streptozotocin (STZ)-induced diabetic mice and age-matched controls were subcutaneously injected with SFN or vehicle for 4 months to measure the in vivo effects of SFN on the kidneys. The human renal proximal tubular (HK11) cell line was used to mimic diabetic conditions in vitro. HK11 cells were transfected to over-express HDAC2 and treated with high glucose/palmitate (HG/Pal) to explore the epigenetic modulation of BMP-7 in SFN-mediated protection against HG/Pal-induced renal fibrosis.Results: SFN significantly attenuated diabetes-induced renal fibrosis in vivo. Among all of the HDACs we detected, HDAC2 activity was markedly elevated in the STZ-induced diabetic kidneys and HG/Pal-treated HK11 cells. SFN inhibited the diabetes-induced increase in HDAC2 activity which was associated with histone acetylation and transcriptional activation of the BMP-7 promoter. HDAC2 over-expression reduced BMP-7 expression and abolished the SFN-mediated protection against HG/Pal-induced fibrosis in vitro.Conclusion: Our study demonstrates that the HDAC inhibitor SFN protects against diabetes-induced renal fibrosis through epigenetic up-regulation of BMP-7.

Center of Gravity Position Estimation of Counterbalanced Forklift Truck Based on Multi Model Data Fusion

Xia Guang,Zhang Chenhao,Tang Xiwen,Zhang Yang,Zhao Linfeng 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.5

The center of gravity of a forklift truck, a crucial parameter for vehicle stability, changes with different loads during operation. We propose an estimation algorithm for the center of gravity position suitable for a counterbalanced forklift truck. By installing sensors on the fork, we use an inclinable platform and propose a static joint center of gravity measurement method. For straight-line driving, we establish a longitudinal dynamics model and propose a nonlinear H∞ estimation algorithm. For steering conditions, we establish a roll dynamics model and propose a forgetting factor recursive least square estimation algorithm. A data fusion algorithm for the forklift truck’s center of gravity position under various working conditions is proposed. The fusion of these estimation results yields the best estimated center of gravity height. We validate the algorithm’s effectiveness using a hardware-in-the-loop simulation platform under different working conditions. The experiments demonstrate the algorithm’s fast parameter fitting, wide applicability, and accurate position control within a 5 % error range.

Efficacy evaluation of novel organic iron complexes in laying hens: effects on laying performance, egg quality, egg iron content, and blood biochemical parameters

Jiuai Cao,Jiaming Zhu,Qin Zhou,Luyuan Zhao,Chenhao Zou,Yanshan Guo,Brian Curtin,Fei Ji,Bing Liu,Dongyou Yu Asian Australasian Association of Animal Productio 2023 Animal Bioscience Vol.36 No.3

Objective: This study was conducted to determine the optimal dose of novel iron amino acid complexes (Fe-Lys-Glu) by measuring laying performance, egg quality, egg iron (Fe) concentrations, and blood biochemical parameters in laying hens. Methods: A total of 1,260 18-week-old healthy Beijing White laying hens were randomly divided into 7 groups with 12 replicates of 15 birds each. After a 2-wk acclimation to the basal diet, hens were fed diets supplemented with 0 (negative control, the analyzed innate iron content was 75.06 mg/kg), 15, 30, 45, 60, and 75 mg Fe/kg as Fe-Lys-Glu or 45 mg Fe/kg from FeSO₄ (positive control) for 24 wk. Results: Results showed that compared with the negative and positive control groups, dietary supplementation with 30 to 75 mg Fe/kg from Fe-Lys-Glu significantly (linear and quadratic, p<0.05) increased the laying rate (LR) and average daily egg weight (ADEW); hens administered 45 to 75 mg Fe/kg as Fe-Lys-Glu showed a remarkable (linear, p<0.05) decrease in feed conversion ratio. There were no significant differences among all groups in egg quality. The iron concentrations in egg yolk and serum were elevated by increasing Fe-Lys-Glu levels, and the highest iron content was found in 75 mg Fe/kg group. In addition, hens fed 45 mg Fe/kg from Fe-Lys-Glu had (linear and quadratic, p<0.05) higher yolk Fe contents than that with the same dosage of FeSO₄ supplementation. The red blood cell (RBC) count and hemoglobin content (linear and quadratic, p<0.05) increased obviously in the groups fed with 30 to 75 mg Fe/kg as Fe-Lys-Glu in comparison with the control group. Fe-Lys-Glu supplementation also (linear and quadratic, p<0.05) enhanced the activity of copper/zinc-superoxide dismutase (Cu/Zn-SOD) in serum, as a result, the serum malonaldehyde content (linear and quadratic, p<0.05) decreased in hens received 60 to 75 mg Fe/kg as Fe-Lys-Glu. Conclusion: Supplementation Fe-Lys-Glu in laying hens could substitute for FeSO₄ and the optimal additive levels of Fe-Lys-Glu are 45 mg Fe/kg in layers diets based on the quadratic regression analysis of LR, ADEW, RBC, and Cu/Zn-SOD.

Photovoltaic Modified β-Parameter-based MPPT Method with Fast Tracking

Li, Xingshuo,Wen, Huiqing,Jiang, Lin,Lim, Eng Gee,Du, Yang,Zhao, Chenhao The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1

Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) power system application to extract the maximum possible power under changing irradiation and temperature conditions. The β-parameter-based method has many advantages over conventional MPPT methods; such advantages include fast tracking speed in the transient stage, small oscillations in the steady state, and moderate implementation complexity. However, a problem in the implementation of the conventional beta method is the choice of an appropriate scaling factor N, which greatly affects both the steady-state and transient performance. Therefore, this paper proposes a modified β-parameter-based method, and the determination of the N is discussed in detail. The study shows that the choice of the scaling factor N is determined by the changes of the value of β during changes in irradiation or temperature. The proposed method can respond accurately and quickly during changes in irradiation or temperature. To verify the proposed method, a photovoltaic power system with MPPT function was built in Matlab/Simulink, and an experimental prototype was constructed with a solar array emulator and dSPACE. Simulation and experimental results are illustrated to show the advantages of the improved β-parameter-based method with the optimized scaling factor.

Photovoltaic Modified β-Parameter-based MPPT Method with Fast Tracking

Xingshuo Li,Huiqing Wen,Lin Jiang,Eng Gee Lim,Yang Du,Chenhao Zhao 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1

Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) power system application to extract the maximum possible power under changing irradiation and temperature conditions. The β-parameter-based method has many advantages over conventional MPPT methods; such advantages include fast tracking speed in the transient stage, small oscillations in the steady state, and moderate implementation complexity. However, a problem in the implementation of the conventional beta method is the choice of an appropriate scaling factor N, which greatly affects both the steady-state and transient performance. Therefore, this paper proposes a modified β-parameter-based method, and the determination of the N is discussed in detail. The study shows that the choice of the scaling factor N is determined by the changes of the value of β during changes in irradiation or temperature. The proposed method can respond accurately and quickly during changes in irradiation or temperature. To verify the proposed method, a photovoltaic power system with MPPT function was built in Matlab/Simulink, and an experimental prototype was constructed with a solar array emulator and dSPACE. Simulation and experimental results are illustrated to show the advantages of the improved β-parameter-based method with the optimized scaling factor.