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| 1 | Online Identification of Power Battery Parameters for Electric Vehicles Using a Decoupling Multiple Forgetting Factors Recursive Least Squares Method显示文摘Li-ion batteries are widely used in electric vehicles(EVs).However,the accuracy of online SOC estimation is still challenging due to the time-varying parameters in batteries.This paper proposes a decoupling multiple forgetting factors recursive least squares method(DMFFRLS)for EV battery parameter identification.The errors caused by the different parameters are separated and each parameter is tracked independently taking into account the different physical characteristics of the battery parameters.The Thevenin equivalent circuit model(ECM)is employed considering the complexity of battery management system(BMS)on the basis of comparative analysis of several common battery ECMs.In addition,decoupling multiple forgetting factors are used to update the covariance due to different degrees of error of each parameter in the identification process.Numerous experiments are employed to verify the proposed DMFFRLS method.The parameters for commonly used LiFePO4(LFP),Li(NiCoMn)O2(NCM)battery cells and battery packs are identified based on the proposed DMFFRLS method and three conventional methods.The experimental results show that the error of the DMFFRLS method is less than 15 mV,which is significantly lower than the conventional methods.The proposed DMFFRLS shows good performance for parameter identification on different kind of batteries,and provides a basis for state of charge(SOC)estimation and BMS design of EVs. | Xiulan Liu Yuan Jin Shuang Zeng Xi Chen Yi Feng Shiqi Liu Haolu Liu | 2020 | CSEE Journal of Power and Energy Systems2020，6，3： | 5 |
| 2 | SENP3 regulates the global protein turnover and the Spl level via antagonizing SUM02/ 3-targeted ubiquitination and degradation显示文摘 | Ming Wang Jing Sang Yanhua Ren Kejia Liu Xinyi Liu Jian Zhang Haolu Wang Jian Wang Amir Orian Jie Yang Jing Yi | 2016 | Protein & Cell2016，7，1： | 5 |
| 3 | A systematic review of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity and its Portsmouth modification as predictors of post-operative morbidity and mortality in patients undergoing pancreatic surgery显示文摘 | Haolu Wang Tao Chen Hui Wang Yanyan Song Xinxing Li Jian Wang | 2013 | The American Journal of Surgery2013，，： | 2 |
| 4 | A New Low-Parasitic Polysilicon SCR ESD Protection Structure for RF ICs显示文摘 | Haolu Xie Haigang Feng Rouying Zhan Albert Wang David Rodriguez and David Rice | 2005 | IEEE ELECTRON DEVICE LETTERS2005，26，2： | 1 |
| 5 | Design and parameters optimization for cutting-conveying mechanism of ramie combine harvester显示文摘In order to solve the problems of uneven stubble,low cutting efficiency and frequent breaking and blocking in the cutting and conveying links of ramie combine harvester,a reciprocating double movable blades cutter and a double-layer chain conveyor were designed,and the operating parameter test and optimization were carried out by using the central combination test design theory,with the emphasis on the influence of the forward speed,the cutting speed of the cutter and the conveying speed of the chain on the cutting efficiency,the failure rate and the conveying rate,and the multi-objective optimization was carried out based on these response indicators.Firstly,the structure and operating parameters of the cutting-conveying mechanism of ramie combine were studied.Then,the experiment was designed by the quadratic orthogonal rotation combination test method,and the data is processed by Design-Expert.The regression mathematical model of cutting efficiency,failure rate and conveying rate was established and variance analysis was carried out.By analyzing the effect of interaction of various factors on cutting efficiency,failure rate and conveying rate by response surface methodology,and performing multi-objective optimization on the regression model according to the importance of the optimization target,the optimal combination of the operating parameters of the cutting-conveying parts of the ramie combine harvester was obtained:when the forward speed was 0.85 m/s,the cutting speed was 1.40 m/s,and the chain conveying speed was 1.33 m/s,the cutting efficiency and conveying rate were the maximum and the failure rate was the minimum,with the values of 44.36 plants/s,93.60%and 4.16%,respectively.The optimized parameters were verified in the field on the ramie combine harvester.In the field test,the cutting efficiency,conveying rate,and failure rate were 43.80 plants/s,92.45%,and 4.52%,respectively,and the relative errors with the optimized values were 1.3%,1.2%,and 8.7%,respectively,which was relatively consistent. | Jicheng Huang Kunpeng Tian Cheng Shen Bin Zhang Haolu Liu Qiaomin Chen Xianwang Li Aimin Ji | 2020 | International Journal of Agricultural and Biological Engineering2020，13，6： | 1 |
| 6 | Design and experiment of the bionic disc cutter for kenaf harvesters显示文摘Aiming to ease the cutting of kenaf stalks via bionics,the bionic disc cutter was designed.The upper jaw of the Batocera horsfieldi was used as a bionic prototype.Further,to explore its dynamic performance,an indoor multi-stalk cutting experimental bench was used to simulate the field operation process.A three-factor and two-level interaction orthogonal experiment was carried out;cutting speed,stalk conveying speed(machine forward speed),and blade type(ordinary disc cutter and bionic disc cutter)were used as experiment factors.The cutting pass rate and cutting specific energy consumption were selected as evaluation indexes.The range,variance,and fuzzy comprehensive evaluation analysis were carried out on the experiment results.Moreover,the main order factors affecting the bionic cutter performance were determined-blade type,conveying speed,the interaction between the cutter speed and conveying speed,and cutter speed.The optimal parameter combination scheme had a cutter speed of 1000 r/min,conveying speed of 0.4 m/s,and included bionic blades.Under this condition,the best index was the 92%cutting pass rate,with a specific energy consumption of 4.38 J/stalk.The variance analysis has shown that,with 95%confidence,the blade type has a rather significant influence on the comprehensive index.Additionally,the conveying speed also significantly influenced it,while other factors and interactions had no notable effect.The experimental comparison under the same working condition shows that the bionic blade has better cutting effect.This study provides a reference for the development of cutter and the selection of kenaf harvester operational parameters. | Kunpeng Tian Bin Zhang Aimin Ji Jicheng Huang Haolu Liu Cheng Shen | 2023 | International Journal of Agricultural and Biological Engineering2023，16，6： | 0 |
| 7 | Formation mechanism for the laying angle of hemp harvester based on ANSYS-ADAMS显示文摘Aiming at the problem of large differences in the laying angle and posture of plants cut by the hemp harvester,which is unfavorable for the subsequent picking-up,this paper analyzed the laying process and laying angles,and built a conveyorplant rigid-flexible coupling model for simulating the laying of hemp plant.Moreover,the operating parameters were tested and optimized based on the central composite design theory,and carried out multi-objective optimization with the minimum laying angle as the response index.Firstly,the formation mechanism of the laying angle of hemp harvester was studied.Secondly,a test was designed with the quadratic orthogonal rotational combination test method,with the data being processed by Design-Expert.A regression mathematical model of the laying angle was built,and the influence of the interactions between factors on the laying angle was analyzed with the response surface method.Furthermore,multi-objective optimization was conducted on the regression model according to the actual production design requirements.As a result,the best combination was obtained,that is,when the forward speed is 0.7 m/s,speed ratio 1.40,and stubble height 95 mm,the minimum laying angle can be obtained,namely 124.9°.The optimization parameters were verified by the simulation and field tests.The simulation test showed that the simulated laying angle is 125.2°,with a relative error of 0.24%from the theoretical value,under the best combination of parameters.The field test showed that the average laying angle of hemp plant is 121.8°,with a relative error of 2.5%from the theoretical value,under the best combination of parameters.The results may provide a reference for the structural improvement and operating parameter control of hemp harvesters. | Jicheng Huang Li Tan Kunpeng Tian Bin Zhang Aimin Ji Haolu Liu Cheng Shen | 2023 | International Journal of Agricultural and Biological Engineering2023，16，4： | 0 |
| 8 | A Monochromophoric Approach to Succinct Ratiometric Fluorescent Probes without Probe-Product Crosstalk显示文摘Ratiometric probes facilitate quantitative studies via self-calibration and are cherished for bioimaging.Often,a small probe-product spectral separation leads to crosstalk,but the rational development of ratiometric probes with zero probe-product crosstalk remains challenging.Harnessing the recent progress on photophysical modulation of xanthenoid fluorochromes,we propose a powerful and versatile probe design principle,that is,“bridging-group modification,”and developed totalROX,a robust probe for monitoring the total cellular oxidative capacity. | Kai Xin Xinxing Li Yinghua Guo Youhuan Zhong Jungang Wang Haotian Yang Jie Zhao Chunlei Guo Yunxia Huang Zuhai Lei Yi-Lun Ying Xiao Luo Haolu Wang Xuhong Qian Wen Yang Xiaowen Liang Youjun Yang | 2021 | CCS Chemistry2021，3，8： | 0 |
| 9 | Experimental research on optimization of compression molding process parameters of pineapple rind residue显示文摘Currently,the process parameters for compression molding of pineapple rind residue are not clear.In view of this problem,a single die hole compression molding test device was designed in this study,and the force of material in a mold hole was analyzed.Using the test device,a three-factor three-level orthogonal test was carried out by using the particle size,moisture content,and die hole length-to-diameter ratio of pineapple rind residue as the factors and the particle molding rate,relax density,and specific energy consumption as the indicators.The test results were analyzed by range analysis,variance analysis,and fuzzy comprehensive evaluation.The test results show that the main and secondary factors affecting the comprehensive performance of pineapple rind residue compression molding are length-to-diameter ratio,particle size,and moisture content.The optimal parameter combination is the material particle size of 6-9 mm,moisture content of 16%,and length-to-diameter ratio of 4:1.The best indicators under these conditions are particle molding rate of 97.80%,relax density of 1.32 g/cm,and specific energy consumption of 44.17 J/g.These research results can provide a reference for the selection of processing parameters and the design of molding equipment. | Kunpeng Tian Bin Zhang Jicheng Huang Haolu Liu Cheng Shen Xianwang Li Qiaomin Chen | 2021 | International Journal of Agricultural and Biological Engineering2021，14，3： | 0 |
| 10 | Design and optimization of the parameters of the key components for reed harvester显示文摘In the present,most of domestic reed harvesters are still in the research and prototype stage,and there is not yet a model with mature technology,strong versatility and mass production.Some modified reed harvesters used in some places can partially solve the reed harvesting problem,but there are problems such as small cutting width,unstable harvesting quality and low operational efficiency that need further improvement.In the study,a reed harvester was designed to integrate with the cutting and conveying.The key components of reed harvester were analyzed to determine the working parameters of the upper stalk-guiding device,the reciprocating double-acting cutter and the three-layer chain conveyor.Then,a quadratic orthogonal rotation combination test was designed to process the data by Design-Expert,where the failure rate,cutting efficiency and conveying rate were taken as the response indexes.An analysis was also made to explore the effects of forward speed,cutting speed,and chain conveying speed on the response index of the reed harvester.A regression mathematical model was established for the response indexes.The response surface method was then selected to implement the multi-objective optimization of the regression model.The results demonstrated that an optimal combination of operation parameters was achieved as follows:the forward speed was 0.85 m/s,the cutting speed was 1.40 m/s,and the chain conveying speed was 1.33 m/s,where the failure rate was 4.17%,the cutting efficiency was 44.21 plants/s,and the conveying rate was 93.60%.The optimized parameters were verified in the field on the reed harvester.In the field test,failure rate,cutting efficiency,and conveying rate were 4.38%,43.82 plants/s,and 92.55%,respectively.The relative errors with the optimized values were 9.8%,5.0%,and 1.1%,respectively.The results of the study provide a theoretical basis for the control of operating parameters and improved design of reed harvesting implements. | Jicheng Huang Bin Zhang Kunpeng Tian Haolu Liu Cheng Shen | 2022 | International Journal of Agricultural and Biological Engineering2022，15，6： | 0 |
| 11 | Protein assembly:Controllable design strategies and applications in biology显示文摘Protein assembly is the structural basis for the collaboration between proteins to accomplish life activities due to its realization of the domain-limited and precise spatial arrangement of proteins.Therefore,artificial manipulation of protein selfassembly has profound implications in areas such as exploring the mysteries of life and developing biomaterials.In this review,we not only summarize the classical assembly strategies and the structures of exquisite protein assemblies,but also aim to generalize the flexible and controllable assembly tools and the“interaction”between the assembled protein-based materials and the external environment.On the basis of this,the application,challenges and further development of protein assembly in biology are reviewed. | Yijia Li Ruizhen Tian Haolu Shi Jiayun Xu Tingting Wang Junqiu Liu | 2023 | Aggregate2023，4，3： | 0 |
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