锂电池SOC计算的C语言版扩展卡尔曼滤波器EKF与容积卡尔曼滤波CKF模型实现，支持定参与FFRLS，跨平台VS2019与Ubuntu 20.04运行，可视化图表如图2、图3 ,基于C语言的卡尔曼滤波

JwWgrkapdrZIP语言版扩展卡尔曼滤波器的锂电池计算  4.41MB

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ZIP 语言版扩展卡尔曼滤波器的锂电池计算 大约有16个文件
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  3. 3.jpg 132.92KB
  4. 4.jpg 266.37KB
  5. Snipaste_2024-03-14_13-22-58.png 19.73KB
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  7. 基于语言版本的扩展卡尔曼滤波器与.html 922.92KB
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  9. 扩展卡尔曼滤波器在.html 924.78KB
  10. 扩展卡尔曼滤波器在估计锂电池状态中有着广泛的应用本.docx 15.58KB
  11. 扩展卡尔曼滤波器在锂电池.html 924.41KB
  12. 扩展卡尔曼滤波器在锂电池计算仿真模型一背景介绍.docx 50.34KB
  13. 扩展卡尔曼滤波器被广泛应用于估计动态系统中的状.docx 49.57KB
  14. 无迹卡尔曼滤波和容积卡尔曼滤波.docx 14.75KB
  15. 电池计算的魔法用扩展卡尔曼滤波器与容积.html 923.98KB
  16. 语言版扩展卡尔曼滤波器的锂电池计算仿真模型容积卡.html 924.05KB

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锂电池SOC计算的C语言版扩展卡尔曼滤波器EKF与容积卡尔曼滤波CKF模型实现，支持定参与FFRLS，跨平台VS2019与Ubuntu 20.04运行，可视化图表如图2、图3。,基于C语言的卡尔曼滤波技术实现锂电池SOC估计仿真模型：容积卡尔曼滤波（CKF）与扩展卡尔曼滤波（EKF）对比研究,（C语言版）扩展卡尔曼滤波器EKF的锂电池SoC计算仿真模型 容积卡尔曼滤波CKF进行锂电池SOC估计的C语言版本实现，包含定参和FFRLS两种情况，已在VS2019和Ubuntu 20.04.4版本中运行成功，根据输出文件数据在origin中绘图如图2，3所示 ,扩展卡尔曼滤波器EKF; 锂电池SoC计算仿真模型; 容积卡尔曼滤波CKF; 锂电池SOC估计; C语言实现; VS2019运行; Ubuntu 20.04.4运行; 输出文件数据绘图。,C语言实现容积卡尔曼滤波与扩展卡尔曼滤波的锂电池SOC估计模型
<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/90426529/2/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/90426529/bg1.jpg"/><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">【电池<span class="_ _0"> </span><span class="ff2">SoC<span class="_"> </span></span>计算的魔法<span class="ff2">——</span>用扩展卡<span class="_ _1"></span>尔曼滤波器<span class="_ _1"></span>（<span class="ff2">EKF</span>）与容<span class="_ _1"></span>积卡尔曼滤<span class="_ _1"></span>波器（<span class="ff2">CKF</span>）打<span class="_ _1"></span>造</div><div class="t m0 x1 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0">电池管理新纪元】</div><div class="t m0 x1 h2 y3 ff1 fs0 fc0 sc0 ls0 ws0">在电池管理<span class="_ _1"></span>系统中，<span class="ff2">SoC<span class="_ _1"></span></span>（<span class="ff2">State of Charge</span>，<span class="_ _1"></span>荷电状态）<span class="_ _1"></span>的准确估计<span class="_ _1"></span>至关重要。<span class="_ _1"></span>今天，我们</div><div class="t m0 x1 h2 y4 ff1 fs0 fc0 sc0 ls0 ws0">将探讨如<span class="_ _1"></span>何使用扩<span class="_ _1"></span>展卡尔<span class="_ _1"></span>曼滤波器<span class="_ _1"></span>（<span class="ff2">EKF</span>）<span class="_ _1"></span>和容积卡<span class="_ _1"></span>尔曼滤波<span class="_ _1"></span>器（<span class="ff2">CKF<span class="_ _1"></span></span>）的<span class="_ _0"> </span><span class="ff2">C<span class="_"> </span></span>语言实现，来</div><div class="t m0 x1 h2 y5 ff1 fs0 fc0 sc0 ls0 ws0">为锂电池的<span class="_ _0"> </span><span class="ff2">SoC<span class="_ _2"> </span></span>计算进行仿真建模。</div><div class="t m0 x1 h2 y6 ff2 fs0 fc0 sc0 ls0 ws0">**<span class="ff1">一、</span>EKF<span class="_ _2"> </span><span class="ff1">的锂电池<span class="_ _0"> </span></span>SoC<span class="_ _2"> </span><span class="ff1">计算仿真模型</span>**</div><div class="t m0 x1 h2 y7 ff1 fs0 fc0 sc0 ls0 ws0">首先，我们来看看扩展卡尔曼滤波器（<span class="ff2">EKF</span>）在锂电池<span class="_ _0"> </span><span class="ff2">SoC<span class="_"> </span></span>计算中的应用。<span class="ff2">EKF<span class="_ _2"> </span></span>通过利用电</div><div class="t m0 x1 h2 y8 ff1 fs0 fc0 sc0 ls0 ws0">池的物理模型和电气特性，<span class="_ _3"></span>对电池的状态进行实时估计。<span class="_ _3"></span>这种方法的优势在于可以处理非线</div><div class="t m0 x1 h2 y9 ff1 fs0 fc0 sc0 ls0 ws0">性系统的问题，并在一定程度上抵抗测量噪声的干扰。</div><div class="t m0 x1 h2 ya ff2 fs0 fc0 sc0 ls0 ws0">```c</div><div class="t m0 x1 h2 yb ff2 fs0 fc0 sc0 ls0 ws0">// EKF<span class="_ _2"> </span><span class="ff1">的<span class="_ _0"> </span></span>C<span class="_ _2"> </span><span class="ff1">语言伪代码示例</span></div><div class="t m0 x1 h2 yc ff2 fs0 fc0 sc0 ls0 ws0">void EKF_Update(BatteryData* battery_data) {</div><div class="t m0 x1 h2 yd ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>// <span class="_ _2"> </span><span class="ff1">更新电池的状态估计值</span></div><div class="t m0 x1 h2 ye ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>// ... <span class="_ _2"> </span><span class="ff1">省略中间计算过程</span> <span class="_ _2"> </span>...</div><div class="t m0 x1 h2 yf ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>battery_data-&gt;soc_estimate <span class="_ _5"> </span>= <span class="_ _5"> </span>EKF_CalculateSoc(battery_data-&gt;voltage, </div><div class="t m0 x1 h2 y10 ff2 fs0 fc0 sc0 ls0 ws0">battery_data-&gt;current);</div><div class="t m0 x1 h2 y11 ff2 fs0 fc0 sc0 ls0 ws0">}</div><div class="t m0 x1 h2 y12 ff2 fs0 fc0 sc0 ls0 ws0">```</div><div class="t m0 x1 h2 y13 ff1 fs0 fc0 sc0 ls0 ws0">在仿真<span class="_ _1"></span>模型中<span class="_ _1"></span>，我<span class="_ _1"></span>们可以<span class="_ _1"></span>根据<span class="_ _1"></span>实际测<span class="_ _1"></span>量的电<span class="_ _1"></span>压和<span class="_ _1"></span>电流数<span class="_ _1"></span>据，<span class="_ _1"></span>不断更<span class="_ _1"></span>新<span class="_ _0"> </span><span class="ff2">SoC<span class="_"> </span></span>的估计值。<span class="_ _1"></span>这种</div><div class="t m0 x1 h2 y14 ff1 fs0 fc0 sc0 ls0 ws0">动态的估计方法可以帮助我们更准确地掌握电池的实时状态。</div><div class="t m0 x1 h2 y15 ff2 fs0 fc0 sc0 ls0 ws0">**<span class="ff1">二、</span>CKF<span class="_ _2"> </span><span class="ff1">进行锂电池<span class="_ _0"> </span></span>SOC<span class="_ _2"> </span><span class="ff1">估计的<span class="_ _0"> </span></span>C<span class="_ _2"> </span><span class="ff1">语言版本实现</span>**</div><div class="t m0 x1 h2 y16 ff1 fs0 fc0 sc0 ls0 ws0">接下来，<span class="_ _6"></span>我们来看看容积卡尔曼滤波器<span class="_ _6"></span>（<span class="ff2">CKF</span>）<span class="_ _6"></span>在锂电池<span class="_ _2"> </span><span class="ff2">SoC<span class="_"> </span></span>估计中的应用。<span class="_ _6"></span><span class="ff2">CKF<span class="_ _2"> </span><span class="ff1">是一种基</span></span></div><div class="t m0 x1 h2 y17 ff1 fs0 fc0 sc0 ls0 ws0">于容积积分的滤波方法，<span class="_ _7"></span>它能够更好地处理高维非线性系统的问题。<span class="_ _7"></span>在电池管理系统中，<span class="_ _7"></span><span class="ff2">CKF</span></div><div class="t m0 x1 h2 y18 ff1 fs0 fc0 sc0 ls0 ws0">可以通过定参和<span class="_ _2"> </span><span class="ff2">FFRLS<span class="_"> </span></span>两种情况下的不同应用，实现对<span class="_ _2"> </span><span class="ff2">SoC<span class="_"> </span></span>的准确估计。</div><div class="t m0 x1 h2 y19 ff2 fs0 fc0 sc0 ls0 ws0">```c</div><div class="t m0 x1 h2 y1a ff2 fs0 fc0 sc0 ls0 ws0">// CKF<span class="_ _2"> </span><span class="ff1">的<span class="_ _0"> </span></span>C<span class="_ _2"> </span><span class="ff1">语言伪代码示例（包含定参和<span class="_ _0"> </span></span>FFRLS<span class="ff1">）</span></div><div class="t m0 x1 h2 y1b ff2 fs0 fc0 sc0 ls0 ws0">void CKF_SOC_Estimation(BatteryData* battery_data, bool use_ffrls) {</div><div class="t m0 x1 h2 y1c ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>// <span class="_ _2"> </span><span class="ff1">根据是否使用<span class="_ _2"> </span></span>FFRLS<span class="_"> </span><span class="ff1">选择不同的参数设置</span></div><div class="t m0 x1 h2 y1d ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>// ... <span class="_ _2"> </span><span class="ff1">省略中间计算过程</span> <span class="_ _2"> </span>...</div><div class="t m0 x1 h2 y1e ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>if (use_ffrls) {</div><div class="t m0 x1 h2 y1f ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _8"> </span>// <span class="_ _2"> </span><span class="ff1">使用<span class="_ _2"> </span></span>FFRLS<span class="_"> </span><span class="ff1">算法进行参数更新</span></div><div class="t m0 x1 h2 y20 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _8"> </span>// ... <span class="_ _2"> </span><span class="ff1">省略<span class="_ _2"> </span></span>FFRLS<span class="_"> </span><span class="ff1">算法实现</span> <span class="_ _9"> </span>...</div><div class="t m0 x1 h2 y21 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>} else {</div><div class="t m0 x1 h2 y22 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _8"> </span>// <span class="_ _9"> </span><span class="ff1">使用定参方法进行参数更新</span></div><div class="t m0 x1 h2 y23 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _8"> </span>// ... <span class="_ _9"> </span><span class="ff1">省略定参方法实现</span> <span class="_ _2"> </span>...</div><div class="t m0 x1 h2 y24 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>}</div><div class="t m0 x1 h2 y25 ff2 fs0 fc0 sc0 ls0 ws0"> <span class="_ _4"> </span>battery_data-&gt;soc_estimate <span class="_ _a"> </span>= <span class="_ _a"> </span>CKF_CalculateSoc(battery_data-&gt;voltage, </div></div><div class="pi" data-data='{"ctm":[1.611830,0.000000,0.000000,1.611830,0.000000,0.000000]}'></div></div>
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