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Research On A New Wet Snow Spreader Control Intelligent System

Posted on:2019-08-11Degree:MasterType:Thesis
Country:ChinaCandidate:J K TianFull Text:PDF
GTID:2382330572452527Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
In northern regions of China,the general winter snowfall and the resulting road icing have caused many inconveniences for highway traffic and urban traffic.Infrequent road traffic has been hindered,affecting traffic efficiency,and giving people's lives and property belts.To threaten,this phenomenon is more pronounced in the Northeast.The traditional way of manpower removal of snow and ice is time consuming and inefficient.It has been gradually eliminated by mechanized snow removal.The current road snow removal machinery,in addition to some commonly used mechanical snow removal machinery,China has also begun to introduce advanced snow melting spreaders and other advanced modern mechanical equipment.The snow-melting machine removes snow by spreading the snow-melting agent through a tractor-traction spreading device to melt the snow and reduce its freezing point so as to prevent the road from freezing.The depletion of traditional fossil energy resources and the long-term use of fossil fuels have caused people to pay enough attention.The greenhouse gas emissions of automobiles account for about one-fifth of global greenhouse gas emissions.The development of electric vehicles has become the future of the automotive industry.trend.At present,China is vigorously promoting electric vehicles.General electric vehicles are home automobiles.However,with the advancement of science and technology,electric vehicles are also developing into the field of construction machinery.The new wet snow spreader described in this article was introduced by Schmidt,a German company.The spreader is powered by a new energy electric tractor.The vehicle's power battery provides the power source for the vehicle.The rated voltage of this vehicle is 500 V DC.The lithium battery consists of 140 units with a nominal voltage of3.6V,which is light weight,long service life,and low self-discharge power.Low temperature resistance,it is more suitable to use under the complicated working conditions such as high cold area.Snowmelt spreaders using electric tractors have a low noise level and are greener,so they have great potential for development.In order to take full advantage of the snow melting and deicing capabilities of the snow melting agent,the spreader is provided with a pre-wet system that dispenses the snow-melting agent after being pre-wet.The thesis is based on the new type of wet snow spreader STRATOS B09 introduced by Xuzhou Heavy Industry Group Co.,Ltd.The work flow of this snowmelt spreader is briefly introduced and the defects found during the use are pointed out.In view of its shortcomings,anautomated prewetting and spreading control system based on digital signal processor DSP is designed to improve its hydraulic circuit in a targeted manner.The component selection,software design idea,and signal acquisition circuit in the hardware design of the control system are introduced.The host computer is used to monitor the data in real time.Finally,the MATLAB and AMESIM hydraulic simulation software are used for the joint simulation of the pre-wet control system to verify the fuzzy PID algorithm.The traditional PID algorithm is more advantageous,and through the historical scene data,the smart control system's intelligent selection of snowmelt agent dosage is verified.In order to protect its lithium battery pack for electric tractors,a low-voltage sprinkler operation block protection was set up to study the state of charge(SOC)of its lithium battery system.Aiming at the problem of large errors in SOC estimation results using traditional algorithms,a new method was proposed.AIC intelligent multi-stage models and estimation methods reduce the interference of SOC estimation due to noise in complex conditions.
Keywords/Search Tags:snowmelt spreader, dsp, electric traction vehicle, fuzzy pid, host computer
PDF Full Text Request
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