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
资源内容介绍
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>