• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IFAC PapersOnLine >Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems * * This work has been supported by the Labex ACTION project (contract “ANR-11-LABX-0001-01”)
【24h】

Post-Prognostics Decision for Optimizing the Commitment of Fuel Cell Systems * * This work has been supported by the Labex ACTION project (contract “ANR-11-LABX-0001-01”)

机译：优化燃料电池系统承诺的预后决策 * < ce：footnote id =“ fn1”> * Labex ACTION项目已支持这项工作（合同“ ANR-11-LABX-0001-01”）

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract: In a post-prognostics decision context, this paper addresses the problem of maximizing the useful life of a platform composed of several parallel machines under service constraint. Application on multi-stack fuel cell systems is considered. In order to propose a solution to the insufficient durability of fuel cells, the purpose is to define a commitment strategy by determining at each time the contribution of each fuel cell stack to the global output so as to reach the demand as long as possible. Two algorithms making use of convex optimization are proposed to cope with the assignment problem. First one is based on the Mirror-prox for Saddle Points method and second one uses the Lasso (Least Absolute Shrinkage and Selection Operator) principle. Results based on computational experiments assess the efficiency of these two approaches in comparison with an intuitive resolution performing successive basic convex projections onto the sets of constraints associated to the optimization problem.
机译：摘要：在预后决策环境中，本文解决了在服务约束下最大化由多个并行计算机组成的平台的使用寿命的问题。考虑在多电池堆燃料电池系统上的应用。为了提出对燃料电池的耐久性不足的解决方案，目的是通过每次确定每个燃料电池堆对整体输出的贡献来定义承诺策略，以便尽可能长地满足需求。提出了两种利用凸优化的算法来解决分配问题。第一个基于“鞍点的镜像近似”方法，第二个使用Lasso（最小绝对收缩和选择算子）原理。基于计算实验的结果与直观的分辨率相比，评估了这两种方法的效率，而直观的分辨率则在与优化问题相关的约束集上进行了连续的基本凸投影。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号