基于MPC模型预测的电池SOC均衡控制策略：创新实现与效果评估,"基于MPC模型预测的电池SOC均衡策略研究：实现高效与智能的电流管理",MPC模型预测控制四节电池SOC均衡1全网首发电池SOC

PuFXKKgBZIP模型预测控制四节电池均衡全网首发电.zip  219.29KB

资源文件列表:

ZIP 模型预测控制四节电池均衡全网首发电.zip 大约有14个文件
  1. 1.jpg 27.75KB
  2. 2.jpg 98.57KB
  3. 3.jpg 56.83KB
  4. 4.jpg 35.83KB
  5. 基于模型预测控制的.html 17.36KB
  6. 基于模型预测控制的四节电池均衡控.txt 1.95KB
  7. 基于模型预测控制的四节电池均衡控制策.txt 1.9KB
  8. 基于模型预测控制的四节电池均衡控制策略研究一.doc 1.88KB
  9. 基于模型预测控制的四节电池均衡控制策略研究一.html 16.68KB
  10. 基于模型预测控制的四节电池均衡控制策略研究一引.doc 2.1KB
  11. 文章标题基于模型预测控制的四节电.txt 1.99KB
  12. 模型预测控制四节电池均.html 17.41KB
  13. 模型预测控制在四节电.html 17.55KB
  14. 模型预测控制在四节电池均衡中的应用一引言随着电.txt 1.94KB

资源介绍:

基于MPC模型预测的电池SOC均衡控制策略：创新实现与效果评估,"基于MPC模型预测的电池SOC均衡策略研究：实现高效与智能的电流管理",MPC模型预测控制四节电池SOC均衡 [1]全网首发电池SOC均衡控制，当前领域国内期刊罕有有人发。 [2]效果超群，根据电池均衡路径完美规划均衡电流，电流由大到小，避免均衡后期均衡路径问题。 ,MPC模型; 预测控制; 电池SOC均衡; 均衡路径规划; 电流控制。,MPC模型预测控制下电池SOC均衡策略
<link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/base.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/css/fancy.min.css" rel="stylesheet"/><link href="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90373131/2/raw.css" rel="stylesheet"/><div id="sidebar" style="display: none"><div id="outline"></div></div><div class="pf w0 h0" data-page-no="1" id="pf1"><div class="pc pc1 w0 h0"><img alt="" class="bi x0 y0 w1 h1" src="/image.php?url=https://csdnimg.cn/release/download_crawler_static/90373131/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">**<span class="ff2">基于<span class="_ _0"> </span></span>MPC<span class="_ _1"> </span><span class="ff2">模型预测控制的四节电池<span class="_ _0"> </span></span>SOC<span class="_ _1"> </span><span class="ff2">均衡控制策略研究</span>**</div><div class="t m0 x1 h2 y2 ff2 fs0 fc0 sc0 ls0 ws0">一<span class="ff3">、</span>引言</div><div class="t m0 x1 h2 y3 ff2 fs0 fc0 sc0 ls0 ws0">随着电动汽车<span class="ff3">、</span>储能系统等领域的快速发展<span class="ff4">，</span>电池组的应用日益广泛<span class="ff3">。</span>多节电池组的性能不仅关乎设</div><div class="t m0 x1 h2 y4 ff2 fs0 fc0 sc0 ls0 ws0">备的正常运行<span class="ff4">，</span>更决定了系统的续航能力及安全稳定性<span class="ff3">。</span>在此背景下<span class="ff4">，</span>电池<span class="_ _0"> </span><span class="ff1">SOC<span class="ff4">（</span></span>荷电状态<span class="ff4">）</span>均衡问</div><div class="t m0 x1 h2 y5 ff2 fs0 fc0 sc0 ls0 ws0">题成为了研究的重要方向<span class="ff3">。</span>尤其是对于四节电池组而言<span class="ff4">，</span>其<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制显得尤为重要<span class="ff3">。</span>然而<span class="ff4">，</span>目前</div><div class="t m0 x1 h2 y6 ff2 fs0 fc0 sc0 ls0 ws0">国内在这一领域的期刊文献中尚属罕见<span class="ff4">，</span>本文将进行全网首发的电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制策略研究<span class="ff3">。</span></div><div class="t m0 x1 h2 y7 ff2 fs0 fc0 sc0 ls0 ws0">二<span class="ff3">、<span class="ff1">MPC<span class="_ _1"> </span></span></span>模型预测控制在电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡中的应用</div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">MPC<span class="ff4">（<span class="ff2">模型预测控制</span>）<span class="ff2">作为一种先进的控制算法</span>，<span class="ff2">其核心在于对未来系统状态的预测及基于预测的优</span></span></div><div class="t m0 x1 h2 y9 ff2 fs0 fc0 sc0 ls0 ws0">化决策<span class="ff3">。</span>在四节电池组的<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制中<span class="ff4">，<span class="ff1">MPC<span class="_ _1"> </span></span></span>模型能够根据电池组的实时状态<span class="ff4">，</span>预测未来一段时间</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">内的<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>变化趋势<span class="ff4">，</span>并据此规划出最优的均衡路径<span class="ff3">。</span></div><div class="t m0 x1 h2 yb ff2 fs0 fc0 sc0 ls0 ws0">三<span class="ff3">、</span>电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制策略</div><div class="t m0 x1 h2 yc ff1 fs0 fc0 sc0 ls0 ws0">1.<span class="_ _2"> </span><span class="ff2">全网首发电池<span class="_ _0"> </span></span>SOC<span class="_ _1"> </span><span class="ff2">均衡控制策略</span></div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0">本文提出的电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制策略<span class="ff4">，</span>旨在解决现有技术中均衡路径规划不科学<span class="ff3">、</span>均衡电流控制不合理</div><div class="t m0 x1 h2 ye ff2 fs0 fc0 sc0 ls0 ws0">等问题<span class="ff3">。</span>通过引入<span class="_ _0"> </span><span class="ff1">MPC<span class="_ _1"> </span></span>模型预测控制<span class="ff4">，</span>能够实现对电池组<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>的精确控制<span class="ff4">，</span>并根据电池组的实际状</div><div class="t m0 x1 h2 yf ff2 fs0 fc0 sc0 ls0 ws0">态<span class="ff4">，</span>实时调整均衡路径和均衡电流<span class="ff3">。</span></div><div class="t m0 x1 h2 y10 ff1 fs0 fc0 sc0 ls0 ws0">2.<span class="_ _2"> </span><span class="ff2">均衡电流的规划与控制</span></div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">根据电池组的工作原理及实际需求<span class="ff4">，</span>本文所提出的均衡控制策略能够根据电池均衡路径完美规划均衡</div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">电流<span class="ff3">。</span>在均衡初期<span class="ff4">，</span>采用较大的均衡电流快速缩小各节电池之间的<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>差异<span class="ff4">；</span>随着均衡过程的进行<span class="ff4">，</span></div><div class="t m0 x1 h2 y13 ff2 fs0 fc0 sc0 ls0 ws0">逐步减小均衡电流<span class="ff4">，</span>以避免在均衡后期因电流过大导致的路径问题<span class="ff3">。</span>这种由大到小的电流控制策略<span class="ff4">，</span></div><div class="t m0 x1 h2 y14 ff2 fs0 fc0 sc0 ls0 ws0">既保证了均衡效率<span class="ff4">，</span>又确保了电池组的稳定性和安全性<span class="ff3">。</span></div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">四<span class="ff3">、</span>效果与验证</div><div class="t m0 x1 h2 y16 ff2 fs0 fc0 sc0 ls0 ws0">通过实际测试与模拟验证<span class="ff4">，</span>本文所提出的基于<span class="_ _0"> </span><span class="ff1">MPC<span class="_ _1"> </span></span>模型预测控制的四节电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>均衡控制策略<span class="ff4">，</span>在</div><div class="t m0 x1 h2 y17 ff2 fs0 fc0 sc0 ls0 ws0">效果上超群<span class="ff3">。</span>不仅能够快速<span class="ff3">、</span>有效地实现各节电池<span class="_ _0"> </span><span class="ff1">SOC<span class="_ _1"> </span></span>的均衡<span class="ff4">，</span>还能在均衡过程中避免因电流过大导</div><div class="t m0 x1 h2 y18 ff2 fs0 fc0 sc0 ls0 ws0">致的潜在问题<span class="ff3">。</span>此外<span class="ff4">，</span>该策略还能根据电池组的实际工作状态进行实时调整<span class="ff4">，</span>具有很高的灵活性和适</div><div class="t m0 x1 h2 y19 ff2 fs0 fc0 sc0 ls0 ws0">应性<span class="ff3">。</span></div><div class="t m0 x1 h2 y1a ff2 fs0 fc0 sc0 ls0 ws0">五<span class="ff3">、</span>结论</div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div>
100+评论
captcha
    相关资源