期刊文献+

基于嵌入式动态能耗平衡的汽车节能调度算法 被引量:3

Energy-Saving Scheduling Algorithm Based on Embedded Dynamic Energy Consumption Balance Car
下载PDF
导出
摘要 研究汽车嵌入式发动机的节能控制问题,由于汽车在启动过程中,发动机燃烧不充分,会造成电动机的启动电流过大,并且包含高噪声,使得汽车的动态非必要能耗增加。传统的限流限压调节算法的频率固定,很难做到真正的动态调节,不能适应非线性的大规模变化。为提高节能效果,提出了一种嵌入式动态能耗平衡的汽车节能调度算法。根据动态平衡相关理论,获取汽车运行过程中发动机的动态能耗关系,并为汽车发动机节能调度提供准确的数据。仿真结果表明,建立多核嵌入式汽车发动机任务调度模型,克服了传统算法中频率固定的弊端,说明改进算法能够有效降低汽车调度过程中的能源消耗。 Research of automotive embedded engine energy saving control problem. This paper proposed an auto- mobile energy saving scheduling algorithm based on embedded dynamic balance energy consumption, According to the related theory of dynamic balance, the operation process of the engine's dynamic energy consumption relationship was obtained to provide accurate data for automobile engine energy - efficient scheduling. The multiple nuclear em- bedded automobile engine task scheduling model was established so as to realize the energy saving control of automobile engines. The experimental results show that this algorithm can effectively reduee the car scheduling process energy consumption.
出处 《计算机仿真》 CSCD 北大核心 2013年第2期274-277,共4页 Computer Simulation
关键词 嵌入式 动态能耗平衡 节能控制 Embedded Dynamic balance energy consumption Energy saving control
  • 相关文献

参考文献6

二级参考文献26

共引文献30

同被引文献29

  • 1肖艳文,王金宝,李亚平,高宏.云计算系统中能量有效的数据摆放算法和节点调度策略[J].计算机研究与发展,2013,50(S1):342-351. 被引量:9
  • 2Leontiadis I,Marfia G,Mack D,et al.On the effectiveness of an opportunistic traffic management system for vehicular networks[J].IEEE Transactions on Intelligent Transportation Systems,2011,12(4):1537-1548.
  • 3Bauza R,Gozalvez J,Sanchez-Soriano J.Road traffic congestion detection through cooperative Vehicle-to-Vehicle oommunications[C].Int.Conf.Local Computer Networks (LCN),Denver,CO,2010:606-612.
  • 4Xia Ying,Zhang Xu,Wang Guo-yin.Ouster-based congestion outlier detection method on trajectory data[C].Int.Conf.Fuzzy Systems and Knowledge Discovery,Tianjin,2009:243-247.
  • 5Zhang En-zhan,Jiang Wei-li,Kuang Yu-jun,et al.Active RFID positioning of vehicles in road traffic[C].Int.Conf.Communications and Information Technologies (ISCIT),Hangzhou,2011:222-227.
  • 6SHEN Wei,WYNTER L.A New One-level Convex Optimization Approach for Estimating Origin-destination Demand[J].Transportation Research Part B:Methodological,2012,46(10):1535-1555.
  • 7SONMEZ 0,MOHAMED H,EPEMA D.On the benefit of processor coallocation in multicluster Grid systems[J].IEEE Transactions on Parallel and Distributed Systems,2010,21 (06):778-89.
  • 8Bimal K M,Gholam M A.Differential epidemic model of virus and worms in computer network[J].International Journal of Network Security,2012,14 (03):149-155.
  • 9BALASANGAMESHWARA J,RAJU N.A hybrid policy mr fault tolerant load balancing in Grid computing environments[J].Journal of Network and computer Applications,2012,35 (01),412-22.
  • 10SUN Huijun,ZHANG Hui,and WU Jianjun.Correlated scale-free network with community:modeling and transportation dynamics[J].Nonlinear Dynamics,2012,69(04):2097-2104.

引证文献3

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部