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| 1 | Safety modeling and protection for lithium-ion batteries based on artificial neural networks method under mechanical abuse显示文摘The safety of lithium-ion batteries under mechanical abuse has become one of the major obstacles affecting the development of electric vehicles. In this paper, the lithium-ion battery safety model under mechanical abuse conditions is proposed by the Back Propagation Artificial Neural Network(BP-ANN) optimized by the Genetic Algorithm(GA). By experimental and simulation results, the proposed method can effectively predict battery mechanical properties. The corresponding correlation coefficient is greater than 0.99, the failure warning model has more safety margin, and the average security margin is greater than 29%. The multi-source warning weight shows that the mechanical soft short-circuit has the greatest warning margin, followed by that of the soft short-circuit of the electrical signal. The thermal soft short-circuit has the lowest warning margin because of the low thermal conductivity. The qualitative simulation results of the battery module reveal that, when electric vehicles are subjected to mechanical abuse conditions, the rapid reduction in the state-of-charge(SOC) of the rear batteries can effectively increase the reliability of the battery module. The proposed safety model is important to protect the safety and stability of lithium-ion batteries, which is conducive to promoting new energy vehicles and protecting the environment. | LI YiDing WANG WenWei LIN Cheng ZUO FengHao | 2021 | Science China(Technological Sciences)2021，64，11： | 3 |
| 2 | Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms显示文摘The main purpose of blasting operation is to produce desired and optimum mean size rock fragments.Smaller or fine fragments cause the loss of ore during loading and transportation,whereas large or coarser fragments need to be further processed,which enhances production cost.Therefore,accurate prediction of rock fragmentation is crucial in blasting operations.Mean fragment size(MFS) is a crucial index that measures the goodness of blasting designs.Over the past decades,various models have been proposed to evaluate and predict blasting fragmentation.Among these models,artificial intelligence(AI)-based models are becoming more popular due to their outstanding prediction results for multiinfluential factors.In this study,support vector regression(SVR) techniques are adopted as the basic prediction tools,and five types of optimization algorithms,i.e.grid search(GS),grey wolf optimization(GWO),particle swarm optimization(PSO),genetic algorithm(GA) and salp swarm algorithm(SSA),are implemented to improve the prediction performance and optimize the hyper-parameters.The prediction model involves 19 influential factors that constitute a comprehensive blasting MFS evaluation system based on AI techniques.Among all the models,the GWO-v-SVR-based model shows the best comprehensive performance in predicting MFS in blasting operation.Three types of mathematical indices,i.e.mean square error(MSE),coefficient of determination(R^(2)) and variance accounted for(VAF),are utilized for evaluating the performance of different prediction models.The R^(2),MSE and VAF values for the training set are 0.8355,0.00138 and 80.98,respectively,whereas 0.8353,0.00348 and 82.41,respectively for the testing set.Finally,sensitivity analysis is performed to understand the influence of input parameters on MFS.It shows that the most sensitive factor in blasting MFS is the uniaxial compressive strength. | Enming Li Fenghao Yang Meiheng Ren Xiliang Zhang Jian Zhou Manoj Khandelwal | 2021 | Journal of Rock Mechanics and Geotechnical Engineering2021，13，6： | 3 |
| 3 | Three-Dimensional Gravity Model Applied to Underwater Navigation显示文摘At present, new integrated navigation, which usesthe location function of reference gravity anomaly map to control the errors of the inertial navigation system (INS), has been developed in marine navigation. It is named the gravityaided INS. Both the INS and real-time computation of gravity anomalies need a 3-D marine normal gravity model.Conventionally, a reduction method applied in geophysical survey is directly introduced to observed data processing. This reduction does not separate anomaly from normal gravity in the observed data, so errors cannot be avoided. The 3-D marine normal gravity model was derived from the J2 gravity model, and is suitable for the region whose depth is less than 1000 m. | YANLei FENGHao DENGZhongliang GAOZhengbing | 2004 | Acta Geologica Sinica(English Edition)2004，78，3： | 2 |
| 4 | A practical method of modeling and simulation for drill fluting显示文摘 | ZHANG Wei WANG Xianfeng HE Fenghao | | 0，，06： | 1 |
| 5 | Cell Type-specific autoregulation of the caudal-related homeobox gene Cdx-2/3·显示文摘 | Fenghao Xu Huiqin Li Tianru Jin | 1999 | J Biol Chem1999，274，34： | 1 |
| 6 | A data analysis method for detecting wall thermal resistance considering wind velocity in situ 显示文摘 | WANG Fenghao WANG Dongyang WANG Xinke | 2010 | Energy and Buildings2010，，42： | 1 |
| 7 | Removal of organics and nutrients from food wastewater using combined thermophilic two-phase anaerobic digestion and shortcut biological nitrogen removal Original Research Article显示文摘 | Fenghao Cui Seungho Lee | 2011 | Water Research2011，45，16： | 1 |
| 8 | Ex- perimental analysis on a novel frost-free air-sourceheat pu-mp water heater system 显示文摘 | Zhihua Wang Yuxin Zheng Fenghao Wang | 2014 | Applied The-rmal Engineering2014，70，： | 1 |
| 9 | Compara- tire Study on SBNR, GSBR and Anammox for Com- bined Treatment of Anaerobic Digester Effluent 显示文摘 | Fenghao Cui Kyung Mo Seyong Park | 2016 | KsceJournal of Civil Engineering2016，20，2： | 1 |
| 10 | In Situ Synthesis and Characterization of Conductive Polypyrrole/Graphene Composites with Improved Solubility and Conductivity显示文摘 | Hsu Fenghao Wu Tzongming | 2012 | Synthetic Metals2012，162，78： | 1 |
| 11 | Enhanced Conductivity and Thermal Stability of Conductive Polyaniline/Graphene Composite Synthesized by in Situ Chemical Oxidation Polymerization with Sodium Dodecyl Sulfate显示文摘 | Lin Yuchun Hsu Fenghao Wu Tzongming | 2013 | Synthetic Metals2013，184，： | 1 |
| 12 | Treatment of copper wastewater using optimal current electrochemical-coagulation 显示文摘 | Kim K Cui Fenghao Yoon H | 2013 | Environmental Technology2013，34，3： | 1 |
| 13 | Use of Steady-State Biofilm Model to Characterize Aerobic Granular Sludge显示文摘 | CUI FENGHAO KIM MOONIL | 2013 | ENVIRONMENTAL SCIENCE & TECHNOLOGY2013，，12： | 1 |
| 14 | An adaptive confroller for a class of nonlinear system using direction basis fanction显示文摘 | Cao Wenning Fenghao Wang Shoujue | 2002 | ChineseJournal of Electronics2002，11，3： | 1 |
| 15 | Spectral analysis of plasma in low-power laser/arc hybrid welding of Mg al loy 显示文摘 | XIAO FENGHAO SONG GANG | 2009 | Transactions on Plasma Science2009，37，1： | 1 |
| 16 | The Discovery of ~310 Ma Back-Arc Basin Basalt in the West Junggar,Xinjiang,NW China and its Geological Significance显示文摘Objective Mafic magmas can form in different tectonic settings with various geochemical characteristics depending on their mantle sources. Basalts generated in back-arc basins provide valuable perspectives on mantle structure and composition, on controls for melt generation, and on the sources responsible for arc magma genesis. | ZHI Qian LI Yongjun YANG Gaoxue DUAN Fenghao TONG Lili | 2019 | Acta Geologica Sinica(English Edition)2019，93，2： | 1 |
| 17 | Pulsewidth control loop in high-speed CMOS clock buffers显示文摘 | FENGHAO M SVENSSON C | 2000 | IEEE J Sol Sta Circ2000，35，2： | 1 |
| 18 | Thermodynamic properties of new heat pump workingpairs: 1,3-dimethylimidazolium dimethylphosphate andwater, ethanol and methanol 显示文摘 | He Zongbao Zhao Zongchang Zhang Xiaodong FengHao | 2010 | Fluid Phase Equilibria2010，298，： | 1 |
| 19 | Cell type-specific autoregulation of the caudal-related homeobox gene Cdx2/3显示文摘 | Fenghao Xu Huiqin Li Tianru Jin | 1999 | J Biol Chem1999，274，34： | 1 |
| 20 | Studies on the potential energy curves of heteronuclear diatomic molecules using energy consistent method显示文摘 | LiXin-Xi SunWei-Guo FengHao | 2003 | Chinese Physics B2003，12，4： | 0 |
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