Pub Date : 2022-03-15DOI: 10.46904/eea.22.70.1.1108005
Waluyo, Ratna Susana, Robbie KURNIADI M.
Induction electric heating utilizes the momentum of skin effect resulting from eddy current. In this study, the eddy currents exist in coils that have been induced from the heating and skin effect occurs on the skin of coil sheath that induces heat on the workpiece. This study also discussed the design of one induction electric heating method that is rarely used in cooker’s coils that using resonant circuit of zero-voltage switching (ZVS). Typically, ZVS circuits are used on heater coils such as solenoid-shaped coils, so, in this study, there is an opportunity to utilize ZVS resonant circuit for heating on cooker coils in the form of pancake coils. The ZVS assisted the induction process in the heating control circuit. It used an Arduino Uno-based control circuit due to complete parts and compact. The microcontroller was played as the keypad and push-button input control. The sensor and display were played as the output. From the test results to determine the size of toroid transformers obtained toroid black type with a cable size about 1.5 mm solid with 10 turns. To determine the size of the coil pancake obtained air gap copper wire with a diameter of 4.7 mm (≈5 mm) with 12 turns. The average temperature rise reached 0.0815°C/s and 0.0889°C/s for the thermocouple and thermometer readings, respectively. The average heating rates were 21.4 cal/s and 81.6 cal/s, respectively for collector 1 and collector 2. The higher the temperature want to achieve, the lower the value of heat transfer efficiency. The yielded induction heating operational frequency on both channel was almost balanced at a frequency of 130-131 kHz, before shunt resistor installation. This small variation was probably cause by the choke position which was influenced by the pancake coil that was not exactly in the middle of the overall length of the coil. While, after shunt resistor installation, the yielded induction heating operational frequency was 125 kHz, which was for measurement purposes.
{"title":"Induction Heating Stove Prototype of 130 kHz using Arduino Uno","authors":"Waluyo, Ratna Susana, Robbie KURNIADI M.","doi":"10.46904/eea.22.70.1.1108005","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108005","url":null,"abstract":"Induction electric heating utilizes the momentum of skin effect resulting from eddy current. In this study, the eddy currents exist in coils that have been induced from the heating and skin effect occurs on the skin of coil sheath that induces heat on the workpiece. This study also discussed the design of one induction electric heating method that is rarely used in cooker’s coils that using resonant circuit of zero-voltage switching (ZVS). Typically, ZVS circuits are used on heater coils such as solenoid-shaped coils, so, in this study, there is an opportunity to utilize ZVS resonant circuit for heating on cooker coils in the form of pancake coils. The ZVS assisted the induction process in the heating control circuit. It used an Arduino Uno-based control circuit due to complete parts and compact. The microcontroller was played as the keypad and push-button input control. The sensor and display were played as the output. From the test results to determine the size of toroid transformers obtained toroid black type with a cable size about 1.5 mm solid with 10 turns. To determine the size of the coil pancake obtained air gap copper wire with a diameter of 4.7 mm (≈5 mm) with 12 turns. The average temperature rise reached 0.0815°C/s and 0.0889°C/s for the thermocouple and thermometer readings, respectively. The average heating rates were 21.4 cal/s and 81.6 cal/s, respectively for collector 1 and collector 2. The higher the temperature want to achieve, the lower the value of heat transfer efficiency. The yielded induction heating operational frequency on both channel was almost balanced at a frequency of 130-131 kHz, before shunt resistor installation. This small variation was probably cause by the choke position which was influenced by the pancake coil that was not exactly in the middle of the overall length of the coil. While, after shunt resistor installation, the yielded induction heating operational frequency was 125 kHz, which was for measurement purposes.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83821564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-15DOI: 10.46904/eea.22.70.1.1108006
Titu-Marius I. Băjenescu
The industry is likely to witness more changes in the next decade than in the last 20 years, and the time to respond is now. The mix of markets driving the global automotive sales has changed yet again. Growth has shifted to markets such as the US, Western Europe and China, while the emerging markets have cooled off. And the pace of global vehicle sales growth is expected to slow over the next few years. Disruption has become the fundamental to the rapid evolution of the mobility ecosystem. Innovation is challenging established principles, from value proposition to cost drivers and product life cycles. Purchasing decisions made for each ride are influenced by factors including availability, comfort, ease of use, reliability ratings and pricing. Autonomous driving functions could not be realised without artificial intelligence. The computing power required for this is provided by chips that are specialised in parallel computing. Researchers are also working on new biologically inspired solutions and on quantum computers that promise even more computing power.
{"title":"Electronics: The Innovation Driver of the Automotive Industry","authors":"Titu-Marius I. Băjenescu","doi":"10.46904/eea.22.70.1.1108006","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108006","url":null,"abstract":"The industry is likely to witness more changes in the next decade than in the last 20 years, and the time to respond is now. The mix of markets driving the global automotive sales has changed yet again. Growth has shifted to markets such as the US, Western Europe and China, while the emerging markets have cooled off. And the pace of global vehicle sales growth is expected to slow over the next few years. Disruption has become the fundamental to the rapid evolution of the mobility ecosystem. Innovation is challenging established principles, from value proposition to cost drivers and product life cycles. Purchasing decisions made for each ride are influenced by factors including availability, comfort, ease of use, reliability ratings and pricing. Autonomous driving functions could not be realised without artificial intelligence. The computing power required for this is provided by chips that are specialised in parallel computing. Researchers are also working on new biologically inspired solutions and on quantum computers that promise even more computing power.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74198693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-15DOI: 10.46904/eea.22.70.1.1108003
Salim Chennai
This paper presents novel seven-level neutral point clamped (npc) shunt active power filter system based on LS-PWM and fuzzy control approaches which can eliminate current harmonics generated by nonlinear loads. Today, multi-level inverters are strongly used in the medium and high voltage applications; their advantages are low harmonic distortions, low switching losses, low electromagnetic interference, and low acoustic noise. Second, fuzzy logic techniques have been successfully employed in several power electronic applications. Fuzzy controller does not need an accurate mathematical model, can work with imprecise inputs, can handle non-linearity, and are more robust than conventional controllers. To benefit from these advantages a novel control scheme for seven-level (npc) inverter based on Fuzzy and LS-PWM technique is proposed. The reference current signals required to compensate harmonic currents use the synchronous current detection method, this technique is easy to implement and achieves good performances for harmonic compensation. The proposed shunt APF is evaluated using Matlab-Simulink software and SimPowerSystem Toolbox under transient and steady state for various operation conditions. The simulation results show the effectiveness of the proposed shunt active filter based on seven-level (NPC) inverter for improving the power quality and the superiority of combined fuzzy and LS-PWM control scheme to conventional controller in term of harmonics compensation and dynamic performances.
{"title":"Shunt Active Power Filter Performances based on Seven-level NPC Inverter using Fuzzy and LS-PWM Control Scheme","authors":"Salim Chennai","doi":"10.46904/eea.22.70.1.1108003","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108003","url":null,"abstract":"This paper presents novel seven-level neutral point clamped (npc) shunt active power filter system based on LS-PWM and fuzzy control approaches which can eliminate current harmonics generated by nonlinear loads. Today, multi-level inverters are strongly used in the medium and high voltage applications; their advantages are low harmonic distortions, low switching losses, low electromagnetic interference, and low acoustic noise. Second, fuzzy logic techniques have been successfully employed in several power electronic applications. Fuzzy controller does not need an accurate mathematical model, can work with imprecise inputs, can handle non-linearity, and are more robust than conventional controllers. To benefit from these advantages a novel control scheme for seven-level (npc) inverter based on Fuzzy and LS-PWM technique is proposed. The reference current signals required to compensate harmonic currents use the synchronous current detection method, this technique is easy to implement and achieves good performances for harmonic compensation. The proposed shunt APF is evaluated using Matlab-Simulink software and SimPowerSystem Toolbox under transient and steady state for various operation conditions. The simulation results show the effectiveness of the proposed shunt active filter based on seven-level (NPC) inverter for improving the power quality and the superiority of combined fuzzy and LS-PWM control scheme to conventional controller in term of harmonics compensation and dynamic performances.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82663328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the nonlinear multi-objective optimization problem of distribution network reconfiguration, the weight of three objective functions, namely network loss, load balance and voltage offset, is determined by the random weight method, which is transformed into a single objective function with the same dimension, the same attribute and the same order of magnitude. The optimal reconfiguration scheme is obtained by using the adaptive multi-population fruit fly optimization algorithm (AMFOA). The node-branch matrix is used for binary coding to avoid the generation of infeasible solutions, and the dynamic step adjustment strategy is introduced to enhance the local search ability of FOA and achieve the effect of balancing global and local search, Cooperative subpopulation strategy and Chebyshev chaotic mapping are used to improve the global search ability and increase the optimization speed. Through the simulation and analysis of a typical IEEE 33-node system with DG, the effectiveness and practicability of the strategy are verified.
{"title":"Distribution Network Reconfiguration Method based on Adaptive Multi Population Fruit Fly","authors":"Kaiyue Zhang, Minan Tang, Qianqian Wang, Peihua Zhou","doi":"10.46904/eea.22.70.1.1108004","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108004","url":null,"abstract":"Aiming at the nonlinear multi-objective optimization problem of distribution network reconfiguration, the weight of three objective functions, namely network loss, load balance and voltage offset, is determined by the random weight method, which is transformed into a single objective function with the same dimension, the same attribute and the same order of magnitude. The optimal reconfiguration scheme is obtained by using the adaptive multi-population fruit fly optimization algorithm (AMFOA). The node-branch matrix is used for binary coding to avoid the generation of infeasible solutions, and the dynamic step adjustment strategy is introduced to enhance the local search ability of FOA and achieve the effect of balancing global and local search, Cooperative subpopulation strategy and Chebyshev chaotic mapping are used to improve the global search ability and increase the optimization speed. Through the simulation and analysis of a typical IEEE 33-node system with DG, the effectiveness and practicability of the strategy are verified.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89198210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the development of society, the advancement of science and technology has become an important basis for whether a country is strong or not, and the development of science and technology cannot do without a solid mathematical foundation. Mathematics is the most important is to calculate, and the enhancement of computing power is to need constant practice to do the problem and correct the wrong problem, so this design of an ai-based automatic correction math homework system. The design of the system can be divided into two parts, the front user operating platform interface design and background function design. The function realization of the background can be divided into five modules, which are image recognition module, mathematical operation module, answer comparison module, data interaction module and image processing module. The image recognition module is used to recognize the text in the picture and obtain the coordinates. The mathematical operation module is used to carry on the operation to the identified problem; The answer comparison module is used to judge right and wrong; The data interaction module USES MySQL database for data interaction. Image processing module is used to identify right and wrong.
{"title":"Automatic Correcting Mathematics Operating System based on AI","authors":"Jianbo Zhang, Qun Yin, Duan Peng-Fei, Xianyun Zhang, Meisu Yin","doi":"10.46904/eea.22.70.1.1108007","DOIUrl":"https://doi.org/10.46904/eea.22.70.1.1108007","url":null,"abstract":"With the development of society, the advancement of science and technology has become an important basis for whether a country is strong or not, and the development of science and technology cannot do without a solid mathematical foundation. Mathematics is the most important is to calculate, and the enhancement of computing power is to need constant practice to do the problem and correct the wrong problem, so this design of an ai-based automatic correction math homework system. The design of the system can be divided into two parts, the front user operating platform interface design and background function design. The function realization of the background can be divided into five modules, which are image recognition module, mathematical operation module, answer comparison module, data interaction module and image processing module. The image recognition module is used to recognize the text in the picture and obtain the coordinates. The mathematical operation module is used to carry on the operation to the identified problem; The answer comparison module is used to judge right and wrong; The data interaction module USES MySQL database for data interaction. Image processing module is used to identify right and wrong.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87138251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.46904/eea.21.69.4.1108006
M. Elbar, I. Merzouk, Abdelkader Bealdel, M. M. Rezaoui, Abdelhamid IRATNI, A. Hafaifa
Reactive and harmonic currents that are being injected into the power supply by nonlinear loads, cause an increasing deterioration of the power system voltages and currents, whereas active power filter (APF) has been widely used to overcome this problem and to improve the power quality delivered by the power supply. In this paper, a three-level four-legged active power filter based on a neutral-point-clamped (NPC) inverter is presented. To fulfil the requirement of the active power filtering function under balanced, unbalanced, and distorted (including 3rd and 5th harmonics) power supply voltages, a control method based on the instantaneous power theory has been used and discussed. On the other side, the inverter switching state control has been achieved based on PWM current controller. The performance of the proposed topology under the control approach has been finally discussed through the obtained simulation results.
{"title":"Power Quality Enhancement in Four-Wire Systems under different distributed Energy Resource Penetrations","authors":"M. Elbar, I. Merzouk, Abdelkader Bealdel, M. M. Rezaoui, Abdelhamid IRATNI, A. Hafaifa","doi":"10.46904/eea.21.69.4.1108006","DOIUrl":"https://doi.org/10.46904/eea.21.69.4.1108006","url":null,"abstract":"Reactive and harmonic currents that are being injected into the power supply by nonlinear loads, cause an increasing deterioration of the power system voltages and currents, whereas active power filter (APF) has been widely used to overcome this problem and to improve the power quality delivered by the power supply. In this paper, a three-level four-legged active power filter based on a neutral-point-clamped (NPC) inverter is presented. To fulfil the requirement of the active power filtering function under balanced, unbalanced, and distorted (including 3rd and 5th harmonics) power supply voltages, a control method based on the instantaneous power theory has been used and discussed. On the other side, the inverter switching state control has been achieved based on PWM current controller. The performance of the proposed topology under the control approach has been finally discussed through the obtained simulation results.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84772065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.46904/eea.21.69.4.1108011
Diana Dranga, Radu-Daniel Bolcaș
Functional Verification is one of the main processes in the Research and Development of new System-on-Chip. As chips are becoming more and more complex, this step becomes an extensive bottleneck which can vastly delay the chip mass production. It is a mandatory step as the design needs to not contain any faults, to ensure proper functioning. If this step is bypassed, large major financial losses and customer dissatisfaction can happen later in the process. Additionally, if the verification process is prolonging for a long period of time, to achieve a higher quality product, it will also cause a financial impact. Therefore, the solution is to find ways to optimize this activity. This paper contains a review on how Artificial Intelligence can reduce this blockage, taking into consideration the time spent on implementing the verification environment and the time of attaining the aimed coverage percentage. The engineer will take a decision on which causes of time-consuming processes presented in the paper will be reduced, depending on project specifics and his or her experience. A candidate for optimizing the training of the Neural Network is the Nvidia’s Computer Unified Device Architecture (CUDA). CUDA is parallel computing platform that make use of the GPU, peculiarly of the CUDA cores located inside Nvidia GPUs.
{"title":"Artificial Intelligence Enhancements in the field of Functional Verification","authors":"Diana Dranga, Radu-Daniel Bolcaș","doi":"10.46904/eea.21.69.4.1108011","DOIUrl":"https://doi.org/10.46904/eea.21.69.4.1108011","url":null,"abstract":"Functional Verification is one of the main processes in the Research and Development of new System-on-Chip. As chips are becoming more and more complex, this step becomes an extensive bottleneck which can vastly delay the chip mass production. It is a mandatory step as the design needs to not contain any faults, to ensure proper functioning. If this step is bypassed, large major financial losses and customer dissatisfaction can happen later in the process. Additionally, if the verification process is prolonging for a long period of time, to achieve a higher quality product, it will also cause a financial impact. Therefore, the solution is to find ways to optimize this activity. This paper contains a review on how Artificial Intelligence can reduce this blockage, taking into consideration the time spent on implementing the verification environment and the time of attaining the aimed coverage percentage. The engineer will take a decision on which causes of time-consuming processes presented in the paper will be reduced, depending on project specifics and his or her experience. A candidate for optimizing the training of the Neural Network is the Nvidia’s Computer Unified Device Architecture (CUDA). CUDA is parallel computing platform that make use of the GPU, peculiarly of the CUDA cores located inside Nvidia GPUs.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88541932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.46904/eea.21.69.4.1108009
A. Djeddi, A. Hafaifa, Abdelhamid IRATNI
The rotating machines like gas turbine types are highly valuable in the gas transportation industry. They are often strategic and have a major impact on the proper operation of gas transport and compression facilities. In this context, the aim of this work is to increase efficiency and production by developing an approach for this kind of installations using real data collected from the operation of the gas turbine. The objective is to provide a database relating to the reliability, availability, and maintenance of gas turbines while using standard reliability approaches. In addition, ensuring maximum availability of this type of rotating machine by preventing its failures and reducing emissions, and by minimizing start-up sequences, which reduces emissions when starting this machine. Also, the proper operation of these gas turbine installations with the reliability approaches developed in this work makes it possible to model the effects of failures in order to predict optimal operating performance and increase the life of their components. This, therefore, ensures a reliable and safe operation of the gas turbine in a compression station for economically profitable gas recovery.
{"title":"Reliability and Availability Study of a Gas Turbine based on usual Approaches with a Failure Mode Analysis","authors":"A. Djeddi, A. Hafaifa, Abdelhamid IRATNI","doi":"10.46904/eea.21.69.4.1108009","DOIUrl":"https://doi.org/10.46904/eea.21.69.4.1108009","url":null,"abstract":"The rotating machines like gas turbine types are highly valuable in the gas transportation industry. They are often strategic and have a major impact on the proper operation of gas transport and compression facilities. In this context, the aim of this work is to increase efficiency and production by developing an approach for this kind of installations using real data collected from the operation of the gas turbine. The objective is to provide a database relating to the reliability, availability, and maintenance of gas turbines while using standard reliability approaches. In addition, ensuring maximum availability of this type of rotating machine by preventing its failures and reducing emissions, and by minimizing start-up sequences, which reduces emissions when starting this machine. Also, the proper operation of these gas turbine installations with the reliability approaches developed in this work makes it possible to model the effects of failures in order to predict optimal operating performance and increase the life of their components. This, therefore, ensures a reliable and safe operation of the gas turbine in a compression station for economically profitable gas recovery.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76704297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.46904/eea.21.69.4.1108003
Xuejun Chen, Lin Ma, Jun Shen
Due to the small volume and high-power density of new energy vehicle motor, a large number of losses in the working process are converted into heat accumulation, resulting in temperature rise, which affects its efficient operation. Based on the heat conduction mechanism, four kinds of shaft oil cooling models with different structures are designed, which are comprehensively analysed by using the thermal-fluid-structure coupling analysis method, and the most effective cooling shaft oil cooling model is solved. The simulation is based on Ansoft Maxwell, and the loss results of each component of the motor are obtained, and the loss data is imported into the Fluent software for fluid-structure coupling analysis. By keeping the other variables consistent, the oil flow rate, pressure drop, and temperature rise of four kinds of in shaft oil cooling structures are analysed and compared. The experimental results show that the rectangle around type is the optimal oil cooling structure. In addition, based on the rectangle around oil duct model , the thermal-fluid-structure coupling analysis of the whole motor is carried out, and compared with the motor without cooling system. The temperature rise cloud diagram of the two motors shows that the former has more obvious heat dissipation effect than the latter, and effectively reduces the temperature rise of the motor, especially the rotor and permanent magnet parts, which verifies the rationality of the shaft cooling structure design.
{"title":"Analysis and Design of Oil Cooling Structure in Motor Shaft of New Energy Vehicle","authors":"Xuejun Chen, Lin Ma, Jun Shen","doi":"10.46904/eea.21.69.4.1108003","DOIUrl":"https://doi.org/10.46904/eea.21.69.4.1108003","url":null,"abstract":"Due to the small volume and high-power density of new energy vehicle motor, a large number of losses in the working process are converted into heat accumulation, resulting in temperature rise, which affects its efficient operation. Based on the heat conduction mechanism, four kinds of shaft oil cooling models with different structures are designed, which are comprehensively analysed by using the thermal-fluid-structure coupling analysis method, and the most effective cooling shaft oil cooling model is solved. The simulation is based on Ansoft Maxwell, and the loss results of each component of the motor are obtained, and the loss data is imported into the Fluent software for fluid-structure coupling analysis. By keeping the other variables consistent, the oil flow rate, pressure drop, and temperature rise of four kinds of in shaft oil cooling structures are analysed and compared. The experimental results show that the rectangle around type is the optimal oil cooling structure. In addition, based on the rectangle around oil duct model , the thermal-fluid-structure coupling analysis of the whole motor is carried out, and compared with the motor without cooling system. The temperature rise cloud diagram of the two motors shows that the former has more obvious heat dissipation effect than the latter, and effectively reduces the temperature rise of the motor, especially the rotor and permanent magnet parts, which verifies the rationality of the shaft cooling structure design.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73810684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.46904/eea.21.69.4.1108007
Zheng Li, Wei Feng, Zemin Wang, Hesheng Chen
Non-intrusive Load Identification play an important role in daily life. It can monitor and predict grid load while statistics and analysis of user electricity information. Aiming at the problems of low non-intrusive load decomposition ability and low precision when two electrical appliances are started and stopped at the same time, a new type of clustering and decomposition algorithm is proposed. The algorithm first analyses the measured power and use DBSCAN to filter out the noise of the collected data. Secondly, the remaining power points are clustered using the Adaptive Gaussian Mixture Model (AGMM) to obtain the cluster centres of the electrical appliances, and finally correlate the corresponding current waveform to establish a load characteristic database. In terms of load decomposition, a mathematical model was established for the magnitude of the changing power and current. The Grasshopper optimization algorithm (GOA) is optimized by introducing simulated annealing (SA) to identify and decompose electrical appliances that start and stop at the same time. The result of the decomposition is checked by the current similarity test to determine whether the result of the decomposition is correct, thereby improving the recognition accuracy. Experimental data shows that the combination of DBSCAN and GMM can can identify similar power characteristics. The introduction of SA makes up for the weakness of GOA and gives full play to the advantages of GOA's high identification efficiency. Finally, the test is carried out through the load detection data of the simultaneous start and stop of the two equipment. The test results show that the proposed method can effectively identify the simultaneous start and stop of two loads and can solve the problem of low recognition rate caused by the similar load power, which lays the foundation for the development of non-intrusive load identification in the future.
{"title":"Non-intrusive Load Identification Method based on SAGOA-GMM Algorithm","authors":"Zheng Li, Wei Feng, Zemin Wang, Hesheng Chen","doi":"10.46904/eea.21.69.4.1108007","DOIUrl":"https://doi.org/10.46904/eea.21.69.4.1108007","url":null,"abstract":"Non-intrusive Load Identification play an important role in daily life. It can monitor and predict grid load while statistics and analysis of user electricity information. Aiming at the problems of low non-intrusive load decomposition ability and low precision when two electrical appliances are started and stopped at the same time, a new type of clustering and decomposition algorithm is proposed. The algorithm first analyses the measured power and use DBSCAN to filter out the noise of the collected data. Secondly, the remaining power points are clustered using the Adaptive Gaussian Mixture Model (AGMM) to obtain the cluster centres of the electrical appliances, and finally correlate the corresponding current waveform to establish a load characteristic database. In terms of load decomposition, a mathematical model was established for the magnitude of the changing power and current. The Grasshopper optimization algorithm (GOA) is optimized by introducing simulated annealing (SA) to identify and decompose electrical appliances that start and stop at the same time. The result of the decomposition is checked by the current similarity test to determine whether the result of the decomposition is correct, thereby improving the recognition accuracy. Experimental data shows that the combination of DBSCAN and GMM can can identify similar power characteristics. The introduction of SA makes up for the weakness of GOA and gives full play to the advantages of GOA's high identification efficiency. Finally, the test is carried out through the load detection data of the simultaneous start and stop of the two equipment. The test results show that the proposed method can effectively identify the simultaneous start and stop of two loads and can solve the problem of low recognition rate caused by the similar load power, which lays the foundation for the development of non-intrusive load identification in the future.","PeriodicalId":38292,"journal":{"name":"EEA - Electrotehnica, Electronica, Automatica","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78479675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：