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Fuzzy Logic Control Strategy for an Extended-range Electric Vehicle Jigao Niu1,2,a, Su Zhou 1,2,3,b* 1Clean Energy Automotive Engineering Center, 2School of Automotive Studies, 3Sino-German Postgraduate School Tongji University (Jiading Campus), 4800 Caoan Road, Shanghai 201804, China b*suzhou@tongji.edu.cn, ajigaoniulucky@163.com Keywords: series extended-range electric vehicle; control strategy; fuzzy logic controller; fuel consumption; emission reduction Abstract.
The E-REV offers the opportunity for petroleum independence, and a dramatic reduction in emission for many drivers [1].
Data exchange between Cruise and Simulink is realized by using the component Matlab DLL.
Table 2 Comparison between PFCS and FLCS in the Extended-range Mode Cycles PFCS (L/100km) FLCS (L/100km) Ftp72 6.58 6.07 Highway 7.04 6.33 Conclusions The E-REV offers a compromise between conventional vehicles and purely electric vehicles, the opportunity for petroleum independence, and a significant reduction in emissions for many drivers.

As seen from the figure, the data points of tangential stress range and compressive stress range for 12 Cr at 300 oC corresponding to particular fretting fatigue strength (107 cycles), regardless of contact pressure shows a linear relationship.
Fig. 3 Relationship between tangential force coefficient and stress amplitude for 12-Cr steel at room temperature and 300 oC However as seen from the Fig. 4 the data points corresponds to room temperature and at 300 oC did not lie on the same line.
The mismatch in data points was due to their difference in tensile strength, as TSR-CSR diagram is a material property and its depends on tensile strength of the material.
The data points of tangential stress range and compressive stress range in Fig 4 were normalized using tensile strength and plotted in the generalized TSR-CSR diagram which is shown in the Fig. 5.
As seen from the figure, after normalizing the data points of tangential stress range and compressive stress range for 12-Cr steel at room temperature and at 300 oC were lie on the same line.

In order to quantify the energy-saving and emission reduction potential of large sail-assisted ship, the energy-saving and emission reduction were estimated and analyzed in paper [1].
The thrust simulation data of this range, as shown in table 2: Table 2 .Wing thrust simulation data (N/m2) Wind speed Wind direction 5(m/s) 10(m/s) 15(m/s) 20 (m/s) 60° 49 143 315 582 70° 60 178 371 672 80° 68 200 424 742 90° 78 225 467 808 100° 81 239 474 808 110° 84 238 483 814 120° 81 231 466 779 Average thrust 72 208 429 744 Experts believe that when we choose 4 wing sails, which surface is 400 m2.
Wind speed was 10 m/s and 15 m/s, there were ship speed data of installed wing diesel ship and no-sail ship, as Fig. 3 shown.
The parameters data of “Wenzhuhai” Item Symbol Unit Value Length overall L m 225.0 Length B.P.
Real ship wind speed data of the test method of correction.

The reduction in toxin content of all analyzed toxins reached 45.6%, 30.2%, 44.5%, 55.9% and 37.6% under the corresponding carboxymethyl chitosan concentrationsis.
The series three API 3000 quadrupole mass spectrometer (United States Applied Biosystems) was equipped with a turbo ion spray source, a needle pump, the Analyst 1.4 data processing system and a gas source for high-purity nitrogen.
The reduction in toxin content of all analyzed toxins reached 45.6%, 30.2%, 44.5%, 55.9% and 37.6% under the corresponding carboxymethyl chitosan concentrations.
Fig.2 Reduction in PSP toxin composition profiles of the soup steamed with different carboxymethyl chitosan concentrations compared with the steamed soup.
Data are presented as mean ± SEM.

The computer was programmed to calculate the length of fibers, and illustrates the data with histograms.
This data indicated a noticeable damage to the fibers during granulation.
Using materials data from Table 1 and Equation 1, critical fiber length Lc, is 0.43 mm.
A comparison of data in Table 4 showed that tensile strength of a composite, sc is influenced by critical fiber length in the molded test bar.
The fiber fracture data showed that fiber contents and viscosity have similar effects on damaging fibers.

Dental stone incorporated with 4 types of disinfectants showed antimicrobial activity against all tested microorganisms with the percentage of microbial reduction ranging from 83% to 100%.
Results Dental stone incorporated with disinfectants (Diamond Rock D, 3-iodo-2- propynylbutylcarbamate; Diamond Rock B, zeolite; Diamond Rock Z, thiabendazole and Diamond Rock T, 2-benzimidazole carbamic acid) showed antimicrobial activity against all microorganisms tested with the percentage of microbial reduction ranging from 83% to 100% compared to control (Diamond Rock D, dental stone without disinfectant) (Fig 1).
No significant difference in microbial reduction was found among the groups of dental stone incorporated with disinfectants.
Fig. 1 Microorganisms detected from each type of disinfectant-containing dental stone Regarding setting time and dry compressive strength, data are displayed in Table 1.
Even though the antimicrobial effect may occur due to many factors inherent in dental stone itself, such as heat of hydration of the setting stone, desiccation of the cast or by the effect of salt (calcium sulfate) on the microbes [7], significant microbial reduction was observed compared to dental stone without disinfectant.

The paper discusses the reduction of carbon taxes of the energy saving projects.
For example: the historical data show that the annual energy price indices are i1, i2, ……, in-1, in, then the price index can be calculate in formula 4
Here is the relevant data: the flow rate of heat medium water is 500 [t/h], the temperature of the intake gas separation unit is 85 degrees, the temperature of the outlet gas separation unit is 65 degrees, the pressure of the low-pressure steam is 0.8 [MPa], and the temperature of the low-pressure steam is 295 degrees.
The historical data of price indices of coal is in table 2.
Discussion The analysis just considered the coal saved due to the reduction of steam.

allx2242@126.com, bhyyu@ustb.edu.cn(corresponding author), cdbsun@mater.ustb.edu.cn,dluwanheng@gmail.com *Corresponding Author: Hongying Yu, Professor, Corrosion and Protection Center, University of Science &Technology Beijing, Tel: 86-10-62332548, FAX: 86-10-62332567, email: hyyu@ustb.edu.cn Keywords: Co-Ni nanomaterial; soft template; 1D structure; magnetic property Abstract: Co-Ni alloy nano array was formed in applied magnetic field via liquid phase reduction method using different surfactants as soft templates.At last, The microstructure and the size of Co-Ni alloy nano-powder were illustrated with FESEM, and the powder’s composition was analyzed by XRD.
All the reflection peaks could be indexed entirely to the face-centered cubic(fcc)structure of Co or Ni.Three peaks all correspond to the diffraction from the {111}, {200}, {220} facets, and these statistics are in good agreement with the reported data{JAPDS File No.04-0850 Ni,No.15-0806 Co}, and there are no impurity peaks, so we can say that the powders we made were pure.
The XRD pattern also shows that, the more contents of the Ni in the powders,the higher the intensity of the peaks,which indicates that Co-Ni alloy nano-powders have preferred orientation; Because there are no PDF data cards which can correspond to CoNi alloy in the JCPDS database.
Through the analysis of data, the linear Co-Ni nanoalloy powders has the highest coercivity of the three, which can reach 313.67 Oe.
Conclusions In summary, we have got Co-Ni nanoalloy powders via liquid phase reduction method using different surfactants as soft templates.

It was also seen on SEM that the primary grain size, regardless of when reduction occurred compared to sintering of the material, is less than 5 µm.
The amount of nickel oxide in the powders was varied such that, after reduction, there would be 15-35 volume percent nickel metal.
The 15, 20, 25, and 30 vol% Ni samples all show a reduction in sintering activity at ~1200°C, as indicated by the knee in the curve at this temperature.
The sharp increase in shrinkage for all compositions occurs over a temperature range corresponding to a slightly endothermic event occurring between approximately 1000°C and 1200ºC in the DTA/TGA data shown in Figure 2.
Reduction Route Study.

In this study, according to experimental data based on the offset printing, the relationship of L*a*b* value of color and ink thickness will be determined by multiple regression method.
Employing various regression evaluation parameters and combining with the experimental data of control parameters for dimensionality reduction treatment, the optimal control parameters will be tested, thus the ink control model based on the color parameters will be set up.
Data Analysis.
This model is better of data fitting as well; Statistical parameter of SSE and RMSE closer to 0, means the model selection and fitting more better.
Area change on color printing, and the experimental data quantity, will affect the results of modeling.