• ISSN 0258-2724
  • CN 51-1277/U
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Volume 58 Issue 4
Aug.  2023
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Journal of Southwest Jiaotong University  > 2023  >  58(4): 783-791.
LYU Gang, GUO Xilin. Calculation of Power Generation Characteristics of Linear Harmonic Generator for Electrodynamic Suspension Maglev Train[J]. Journal of Southwest Jiaotong University, 2023, 58(4): 783-791. doi: 10.3969/j.issn.0258-2724.20210892
Citation: LYU Gang, GUO Xilin. Calculation of Power Generation Characteristics of Linear Harmonic Generator for Electrodynamic Suspension Maglev Train[J]. Journal of Southwest Jiaotong University, 2023, 58(4): 783-791. doi: 10.3969/j.issn.0258-2724.20210892
shu

Calculation of Power Generation Characteristics of Linear Harmonic Generator for Electrodynamic Suspension Maglev Train

doi: 10.3969/j.issn.0258-2724.20210892

  • School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

  • Received Date: 11 Nov 2021
  • Rev Recd Date: 10 May 2022
    • Available Online: 07 Jan 2023
  • Publish Date: 11 May 2022
    Abstract

  • To study the power generation characteristics of linear harmonic generators for high-speed maglev trains, based on the space harmonic method, the magnetomotive force distribution model of superconducting coils is proposed, and the magnetic induction intensity distribution formula of superconducting coils in three-dimensional space is deduced. Secondly, the induced magnetic field of the suspension coil current is calculated based on the electromagnetic coupling relationship between the suspension coil and the superconducting coil, and the fifth harmonic magnetic field of the suspension coil is analyzed that to be used for collecting the inductive current. Further, the fifth harmonic magnetic field of the suspension coil is used as the excitation of the collector coil, and the analytical expression of the induced electromotive force of the collector coil is deduced. Finally, taking the MLX01 maglev train on the Yamanashi line in Japan as the engineering background, the numerical analysis value, finite element simulation and the measured data of the Yamanashi line in Japan are used for comparison. The research results show that the relative errors between the analytical values of the magnetic induction intensity, the induced electromotive force and collecting power of the superconducting coil, the finite element simulation and the measured data are all within 10%, which verifies the validity of the magnetomotive force distribution model and the analytical model. When the train speed is more than 100 km/h, the current of the suspension coil and its induced magnetic field tend to be saturated; the induced electromotive of the collecting force coil is approximately linear with the running speed of the train, and the collecting power has a quadratic nonlinear relationship with the speed; when the train speed is 500 km/h, the collecting power is 43.3 kW; the train speed reaches the target collecting power of 25.0 kW at 380 km/h, which ensures the reliability of the on-board power supply of the maglev train.

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 7.5 %其他: 7.5 %其他: 0.3 %其他: 0.3 %Seattle: 0.1 %Seattle: 0.1 %三明: 0.6 %三明: 0.6 %三门峡: 0.2 %三门峡: 0.2 %上海: 0.6 %上海: 0.6 %东京: 0.1 %东京: 0.1 %东莞: 0.1 %东莞: 0.1 %临汾: 0.3 %临汾: 0.3 %丽水: 0.5 %丽水: 0.5 %乌鲁木齐: 0.2 %乌鲁木齐: 0.2 %乐山: 0.2 %乐山: 0.2 %包头: 0.3 %包头: 0.3 %北京: 5.6 %北京: 5.6 %北干巴鲁: 0.1 %北干巴鲁: 0.1 %十堰: 0.1 %十堰: 0.1 %南京: 0.3 %南京: 0.3 %南充: 0.1 %南充: 0.1 %南平: 0.6 %南平: 0.6 %南昌: 0.3 %南昌: 0.3 %南通: 0.8 %南通: 0.8 %南阳: 0.1 %南阳: 0.1 %厦门: 0.2 %厦门: 0.2 %台州: 0.2 %台州: 0.2 %合肥: 0.1 %合肥: 0.1 %吉林: 0.5 %吉林: 0.5 %哥伦布: 0.1 %哥伦布: 0.1 %唐山: 0.5 %唐山: 0.5 %嘉兴: 1.3 %嘉兴: 1.3 %夏延: 0.1 %夏延: 0.1 %多摩: 0.1 %多摩: 0.1 %大庆: 0.1 %大庆: 0.1 %大连: 0.3 %大连: 0.3 %天津: 0.6 %天津: 0.6 %太原: 0.1 %太原: 0.1 %宁德: 0.1 %宁德: 0.1 %宁波: 0.5 %宁波: 0.5 %安庆: 0.1 %安庆: 0.1 %安康: 1.2 %安康: 1.2 %宜宾: 0.1 %宜宾: 0.1 %宣城: 0.1 %宣城: 0.1 %宿迁: 1.0 %宿迁: 1.0 %密蘇里城: 0.1 %密蘇里城: 0.1 %山景城: 0.1 %山景城: 0.1 %常德: 0.5 %常德: 0.5 %广元: 0.7 %广元: 0.7 %广安: 0.1 %广安: 0.1 %广州: 1.4 %广州: 1.4 %廊坊: 0.1 %廊坊: 0.1 %延安: 0.1 %延安: 0.1 %张家口: 2.5 %张家口: 2.5 %徐州: 1.0 %徐州: 1.0 %德州: 0.1 %德州: 0.1 %成都: 1.1 %成都: 1.1 %扬州: 0.3 %扬州: 0.3 %抚州: 0.3 %抚州: 0.3 %抚顺: 0.3 %抚顺: 0.3 %无锡: 1.2 %无锡: 1.2 %日照: 0.5 %日照: 0.5 %景德镇: 0.1 %景德镇: 0.1 %曼谷: 0.1 %曼谷: 0.1 %杭州: 0.9 %杭州: 0.9 %枣庄: 0.1 %枣庄: 0.1 %株洲: 0.1 %株洲: 0.1 %榆林: 1.0 %榆林: 1.0 %汕头: 0.3 %汕头: 0.3 %池州: 0.2 %池州: 0.2 %沈阳: 0.3 %沈阳: 0.3 %泉州: 0.5 %泉州: 0.5 %泰州: 0.2 %泰州: 0.2 %泸州: 1.1 %泸州: 1.1 %济南: 0.8 %济南: 0.8 %海西: 0.1 %海西: 0.1 %淮北: 0.1 %淮北: 0.1 %淮南: 0.1 %淮南: 0.1 %淮安: 0.5 %淮安: 0.5 %深圳: 0.2 %深圳: 0.2 %温州: 1.8 %温州: 1.8 %渭南: 1.0 %渭南: 1.0 %湖州: 0.8 %湖州: 0.8 %湘潭: 0.3 %湘潭: 0.3 %湘西: 0.5 %湘西: 0.5 %漯河: 0.9 %漯河: 0.9 %漳州: 0.5 %漳州: 0.5 %烟台: 0.2 %烟台: 0.2 %爱丁堡: 0.3 %爱丁堡: 0.3 %盐城: 1.0 %盐城: 1.0 %盘锦: 0.3 %盘锦: 0.3 %眉山: 0.1 %眉山: 0.1 %石家庄: 2.2 %石家庄: 2.2 %福州: 0.3 %福州: 0.3 %秦皇岛: 1.0 %秦皇岛: 1.0 %绍兴: 0.8 %绍兴: 0.8 %胡志明: 0.1 %胡志明: 0.1 %自贡: 0.1 %自贡: 0.1 %舟山: 0.6 %舟山: 0.6 %芒廷维尤: 7.9 %芒廷维尤: 7.9 %芜湖: 0.4 %芜湖: 0.4 %芝加哥: 0.5 %芝加哥: 0.5 %苏州: 1.5 %苏州: 1.5 %荆门: 1.0 %荆门: 1.0 %莆田: 1.1 %莆田: 1.1 %营口: 0.5 %营口: 0.5 %葫芦岛: 0.3 %葫芦岛: 0.3 %蚌埠: 0.1 %蚌埠: 0.1 %衡水: 0.1 %衡水: 0.1 %衢州: 0.2 %衢州: 0.2 %襄阳: 0.3 %襄阳: 0.3 %西宁: 15.5 %西宁: 15.5 %西安: 2.5 %西安: 2.5 %诺沃克: 0.2 %诺沃克: 0.2 %贵阳: 0.1 %贵阳: 0.1 %辽阳: 0.7 %辽阳: 0.7 %运城: 0.5 %运城: 0.5 %连云港: 0.8 %连云港: 0.8 %通化: 0.1 %通化: 0.1 %遵义: 0.3 %遵义: 0.3 %邯郸: 0.1 %邯郸: 0.1 %邵阳: 0.5 %邵阳: 0.5 %郑州: 0.3 %郑州: 0.3 %郴州: 1.1 %郴州: 1.1 %重庆: 0.6 %重庆: 0.6 %金华: 0.6 %金华: 0.6 %铁岭: 0.9 %铁岭: 0.9 %铜陵: 0.8 %铜陵: 0.8 %锦州: 0.1 %锦州: 0.1 %长沙: 1.1 %长沙: 1.1 %青岛: 0.4 %青岛: 0.4 %鞍山: 0.7 %鞍山: 0.7 %香港: 0.4 %香港: 0.4 %马德里: 0.2 %马德里: 0.2 %鹰潭: 0.9 %鹰潭: 0.9 %黄山: 0.1 %黄山: 0.1 %黄石: 0.3 %黄石: 0.3 %黔西南: 0.7 %黔西南: 0.7 %齐齐哈尔: 0.1 %齐齐哈尔: 0.1 %其他其他Seattle三明三门峡上海东京东莞临汾丽水乌鲁木齐乐山包头北京北干巴鲁十堰南京南充南平南昌南通南阳厦门台州合肥吉林哥伦布唐山嘉兴夏延多摩大庆大连天津太原宁德宁波安庆安康宜宾宣城宿迁密蘇里城山景城常德广元广安广州廊坊延安张家口徐州德州成都扬州抚州抚顺无锡日照景德镇曼谷杭州枣庄株洲榆林汕头池州沈阳泉州泰州泸州济南海西淮北淮南淮安深圳温州渭南湖州湘潭湘西漯河漳州烟台爱丁堡盐城盘锦眉山石家庄福州秦皇岛绍兴胡志明自贡舟山芒廷维尤芜湖芝加哥苏州荆门莆田营口葫芦岛蚌埠衡水衢州襄阳西宁西安诺沃克贵阳辽阳运城连云港通化遵义邯郸邵阳郑州郴州重庆金华铁岭铜陵锦州长沙青岛鞍山香港马德里鹰潭黄山黄石黔西南齐齐哈尔

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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