校准ecm块gydF4y2Ba

这个例子展示了如何在HEV P2参考应用程序中校准ECMS块。gydF4y2Ba

HEV P2参考应用gydF4y2Ba

打开P2参考应用程序。gydF4y2Ba

autoblkHevP2StartgydF4y2Ba

设置路径gydF4y2Ba

设置校准脚本的路径。gydF4y2Ba

路径= fullfile (matlabroot,gydF4y2Ba“例子”gydF4y2Ba，gydF4y2Ba“autoblks”gydF4y2Ba，gydF4y2Ba“主要”gydF4y2Ba）;目录路径);gydF4y2Ba

执行校准脚本gydF4y2Ba

% calibration_ecms_scriptgydF4y2BapxName =gydF4y2Ba“P2”gydF4y2Ba；gydF4y2Ba% PT配置类型，P0,P1,P2,P3,P4gydF4y2BabattMdl =gydF4y2Ba“BattHev”gydF4y2Ba+ pxName;gydF4y2Ba%电池模型-用于SOC扫描gydF4y2BamdlName =gydF4y2Ba“戊肝病毒”gydF4y2Ba+ pxName +gydF4y2Ba“ReferenceApplication”gydF4y2Ba；gydF4y2Ba%的戊肝病毒模型gydF4y2BactrlMdl =gydF4y2Ba“戊肝病毒”gydF4y2Ba+ pxName +gydF4y2Ba“OptimalController”gydF4y2Ba；gydF4y2Ba%控制器模型gydF4y2BamaxIterat = 4;gydF4y2Ba%最大迭代gydF4y2BaSOCinit = 0.85;gydF4y2Ba初始SOC %，单位在[0,1]gydF4y2BaSOCEndTrg = SOCinit * 100;gydF4y2Ba绘制窗口大小和位置gydF4y2Bax0 = 600;y0 = 1040;宽度= 600;身高= 280;抽搐load_system (mdlName);load_system (ctrlMdl);load_system (battMdl);blk = mdlName +gydF4y2Ba“/”gydF4y2Ba+gydF4y2Ba“开车周期源”gydF4y2Ba；m = get_param(黑色,gydF4y2Ba“MaskObject”gydF4y2Ba）;ECMS_CurrentCycle = m.Parameters (1, 1) value;gydF4y2Ba%当前周期设置。gydF4y2BamdlWks = get_param (ctrlMdl,gydF4y2Ba“ModelWorkspace”gydF4y2Ba）;gydF4y2Ba%查找模型工作区gydF4y2Ba%获取当前ECMS_s值gydF4y2BaECMS_obj = getVariable (mdlWks,gydF4y2Ba“ECMS_s”gydF4y2Ba）;gydF4y2Ba如果gydF4y2Baisnumeric (ECMS_obj);ECMS_CurrentValue = ECMS_obj;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba~ isnumeric (ECMS_obj);ECMS_CurrentValue = ECMS_obj.Value;gydF4y2Ba结束gydF4y2Ba%提取初始值/ ECMS调优参数名称gydF4y2Bap = Simulink.Mask.get (ctrlMdl +gydF4y2Ba“/ ecm”gydF4y2Ba）;baseParamName = p.getParameter (gydF4y2Ba“ECMS_s”gydF4y2Ba) value;battChrgMaxValue_obj = getVariable (get_param (battMdlgydF4y2Ba“modelworkspace”gydF4y2Ba)，gydF4y2Ba“BattChargeMax”gydF4y2Ba）;gydF4y2Ba如果gydF4y2Baisnumeric (battChrgMaxValue_obj);battChrgMaxValue = battChrgMaxValue_obj;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba~ isnumeric (battChrgMaxValue_obj);battChrgMaxValue = battChrgMaxValue_obj.Value;gydF4y2Ba结束gydF4y2Ba%设置为临时名称gydF4y2Baset_param (ctrlMdl +gydF4y2Ba“/ ecm”gydF4y2Ba，gydF4y2Ba“ECMS_s”gydF4y2Ba，gydF4y2Ba“ECMS_s_tune”gydF4y2Ba) save_system (mdlName [],gydF4y2Ba“SaveDirtyReferencedModels”gydF4y2Ba，gydF4y2Ba“上”gydF4y2Ba）;save_system (ctrlMdl [],gydF4y2Ba“SaveDirtyReferencedModels”gydF4y2Ba，gydF4y2Ba“上”gydF4y2Ba）;gydF4y2Ba%启用SOC记录gydF4y2Bax1_handles = get_param (mdlName +gydF4y2Ba“/可视化/ Transition1”gydF4y2Ba，gydF4y2Ba“PortHandles”gydF4y2Ba）;x1 = x1_handles.Outport (1);Simulink.sdi.markSignalForStreaming (x1,gydF4y2Ba“上”gydF4y2Ba）;gydF4y2Ba用于存储ECMS_s和SOC_end值的%数组gydF4y2BaXc = 0 (3,1);Yc = 0 (3,1);gydF4y2Ba%图显示ECMS_s和SOC_endgydF4y2Ba次要情节(1、2、1);集(gcf,gydF4y2Ba“位置”gydF4y2Ba, (x0, y0,宽度、高度))包含({gydF4y2Ba“ecm \ _”gydF4y2Ba，gydF4y2Ba' 'gydF4y2Ba}) ylabel (gydF4y2Ba“dSOC”gydF4y2Ba)举行gydF4y2Ba在gydF4y2Ba；次要情节(1、2、2);包含(gydF4y2Ba“ecm \ _”gydF4y2Ba) ylabel (gydF4y2Ba“SOC”gydF4y2Ba) sgtitle (ECMS_CurrentCycle);gydF4y2Ba%设置模型工作区变量gydF4y2Bain = ModelSetVariable (mdlName, battChrgMaxValue, SOCinit,battMdl, SOCEndTrg, ctrlMdl);gydF4y2Ba%获得初始3个ECMS_s点和SOC_end值gydF4y2Ba[x, y, ECMS_s, SOC_end, solution_found] = dSOC_generate_starting_points (in, ECMS_CurrentValue, SOCEndTrg);gydF4y2Ba

###启动串行模型参考仿真构建。DrivetrainHevP2的模型参考仿真目标is up to date。HevP2TransmissionController的模型参考仿真目标是最新的。MotMappedP2的模型参考模拟目标是最新的。SiEngineController的模型参考仿真目标是最新的。SiMappedEngine的模型参考仿真目标是最新的。startersystem2的模型参考模拟目标是最新的。建立模型总结模拟目标构建:行动重建的原因  ================================================================================================================= BattHevP2代码生成和编译。在模型“BattHevP2”的模型工作区中检测到的更改。HevP2OptimalController代码生成并编译。 Model or library HevP2OptimalController changed. 2 of 8 models built (6 models already up to date) Build duration: 0h 3m 2.539s x1 = 3.430000, y1 = 76.501288 ### Starting serial model reference simulation build. ### Model reference simulation target for BattHevP2 is up to date. ### Model reference simulation target for DrivetrainHevP2 is up to date. ### Model reference simulation target for HevP2OptimalController is up to date. ### Model reference simulation target for HevP2TransmissionController is up to date. ### Model reference simulation target for MotMappedP2 is up to date. ### Model reference simulation target for SiEngineController is up to date. ### Model reference simulation target for SiMappedEngine is up to date. ### Model reference simulation target for StarterSystemP2 is up to date. Build Summary 0 of 8 models built (8 models already up to date) Build duration: 0h 0m 26.668s x2 = 3.861437, y2 = 80.150757 ### Starting serial model reference simulation build. ### Model reference simulation target for BattHevP2 is up to date. ### Model reference simulation target for DrivetrainHevP2 is up to date. ### Model reference simulation target for HevP2OptimalController is up to date. ### Model reference simulation target for HevP2TransmissionController is up to date. ### Model reference simulation target for MotMappedP2 is up to date. ### Model reference simulation target for SiEngineController is up to date. ### Model reference simulation target for SiMappedEngine is up to date. ### Model reference simulation target for StarterSystemP2 is up to date. Build Summary 0 of 8 models built (8 models already up to date) Build duration: 0h 0m 25.533s x3 = 4.422918, y3 = 82.791282 ### Starting serial model reference simulation build. ### Model reference simulation target for BattHevP2 is up to date. ### Model reference simulation target for DrivetrainHevP2 is up to date. ### Model reference simulation target for HevP2OptimalController is up to date. ### Model reference simulation target for HevP2TransmissionController is up to date. ### Model reference simulation target for MotMappedP2 is up to date. ### Model reference simulation target for SiEngineController is up to date. ### Model reference simulation target for SiMappedEngine is up to date. ### Model reference simulation target for StarterSystemP2 is up to date. Build Summary 0 of 8 models built (8 models already up to date) Build duration: 0h 0m 23.503s x(4) = 4.732032, y(4) = 84.960746

如果gydF4y2Ba(solution_found = = 0)gydF4y2Ba为gydF4y2Bai = 1: maxIterat [yy, II] = sort(y，gydF4y2Ba“提升”gydF4y2Ba）;gydF4y2Ba%排序用于绘图的x, y数组gydF4y2Baxx = x (II);次要情节(1、2、2)gydF4y2Ba如果gydF4y2Ba(i = = 1);情节(xx, yy,gydF4y2Ba“b - o 'gydF4y2Ba，gydF4y2Ba“线宽”gydF4y2Ba2);gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(我= = 2);情节(xx, yy,gydF4y2Ba“g - o”gydF4y2Ba，gydF4y2Ba“线宽”gydF4y2Ba2);gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(我= = 3);情节(xx, yy,gydF4y2Ba“r - o”gydF4y2Ba，gydF4y2Ba“线宽”gydF4y2Ba2);gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(我= = 4);情节(xx, yy,gydF4y2Ba“y - o”gydF4y2Ba，gydF4y2Ba“线宽”gydF4y2Ba2);gydF4y2Ba结束gydF4y2Ba包含(gydF4y2Ba“ecm \ _”gydF4y2Ba) ylabel (gydF4y2Ba“SOC”gydF4y2Ba)举行gydF4y2Ba从gydF4y2Ba%求解二阶方程得到z = ECMS_s对应于y = SOCEndTrggydF4y2Ba

$\begin{array}{l} 年代gydF4y2Ba OgydF4y2Ba CgydF4y2Ba EgydF4y2Ba ngydF4y2Ba dgydF4y2Ba TgydF4y2Ba rgydF4y2Ba ggydF4y2Ba ＝gydF4y2Ba 年代gydF4y2Ba OgydF4y2Ba {CgydF4y2Ba}_{我gydF4y2Ba ngydF4y2Ba 我gydF4y2Ba tgydF4y2Ba} ＝gydF4y2Ba 一个gydF4y2Ba {xgydF4y2Ba}^{2gydF4y2Ba} +gydF4y2Ba bgydF4y2Ba xgydF4y2Ba +gydF4y2Ba cgydF4y2Ba ，gydF4y2Ba 在哪里gydF4y2Ba 一个gydF4y2Ba ，gydF4y2Ba bgydF4y2Ba ，gydF4y2Ba cgydF4y2Ba 满足gydF4y2Ba {ygydF4y2Ba}_{我gydF4y2Ba} ＝gydF4y2Ba 一个gydF4y2Ba {xgydF4y2Ba}_{我gydF4y2Ba}^{2gydF4y2Ba} +gydF4y2Ba bgydF4y2Ba {xgydF4y2Ba}_{我gydF4y2Ba} +gydF4y2Ba cgydF4y2Ba ，gydF4y2Ba 1gydF4y2Ba \leqgydF4y2Ba 我gydF4y2Ba \leqgydF4y2Ba 3.gydF4y2Ba ．gydF4y2Ba 与gydF4y2Ba \\ {xgydF4y2Ba}_{1gydF4y2Ba} ＝gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 1gydF4y2Ba ）gydF4y2Ba} ，gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba} ＝gydF4y2Ba 年代gydF4y2Ba OgydF4y2Ba {CgydF4y2Ba}_{egydF4y2Ba ngydF4y2Ba dgydF4y2Ba} （gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 1gydF4y2Ba ）gydF4y2Ba} ）gydF4y2Ba ，gydF4y2Ba {xgydF4y2Ba}_{2gydF4y2Ba} ＝gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 2gydF4y2Ba ）gydF4y2Ba} ，gydF4y2Ba {ygydF4y2Ba}_{2gydF4y2Ba} ＝gydF4y2Ba 年代gydF4y2Ba OgydF4y2Ba {CgydF4y2Ba}_{egydF4y2Ba ngydF4y2Ba dgydF4y2Ba} （gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 2gydF4y2Ba ）gydF4y2Ba} ）gydF4y2Ba ，gydF4y2Ba {xgydF4y2Ba}_{3.gydF4y2Ba} ＝gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 3.gydF4y2Ba ）gydF4y2Ba} ，gydF4y2Ba {ygydF4y2Ba}_{3.gydF4y2Ba} ＝gydF4y2Ba 年代gydF4y2Ba OgydF4y2Ba {CgydF4y2Ba}_{egydF4y2Ba ngydF4y2Ba dgydF4y2Ba} （gydF4y2Ba {ecmgydF4y2Ba}_{年代gydF4y2Ba}^{（gydF4y2Ba 3.gydF4y2Ba ）gydF4y2Ba} ）gydF4y2Ba ．gydF4y2Ba \end{array}$

[z] = Second_order_roots (x, y, SOCEndTrg);在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Ba, z);[SOC_end, dSOC] = dSOCsim_v1(的);次要情节(1、2、1);情节(z, dSOCgydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba, 15)gydF4y2Ba在gydF4y2Ba流(gydF4y2Ba'i= %u, ECMS_s = %f, SOC_end = %f \n'gydF4y2Ba,我,z, SOC_end);流(gydF4y2Ba'i= %u, x1 = %f, x2 = %f, x3 = %f， \n'gydF4y2Ba，i, x(1)， x(2)， x(3));流(gydF4y2Ba'i= %u, y1 = %f, y2 = %f, y3 = %f， \n'gydF4y2Ba，i, y(1)， y(2)， y(3));gydF4y2Ba如果gydF4y2Ba(abs(SOC_end - SOCEndTrg) <= 1)gydF4y2Ba检查是否找到解决方案。gydF4y2BaECMS_s = z;x (1) = ECMS_s;y (1) = SOC_end;solution_found = 1;gydF4y2Ba打破gydF4y2Ba；gydF4y2Ba结束gydF4y2BaXc (1:3) = x (1:3);Yc (1:3) = y (1:3);x (1) = z;y (1) = SOC_end;gydF4y2Ba由于z和SOC_end是新的点，我们使用它们并代入x(1)， y(1)gydF4y2Ba[yb, II] = sort(yc，gydF4y2Ba“提升”gydF4y2Ba）;gydF4y2Ba%对处理的数组进行排序gydF4y2Baxb = xc (II);gydF4y2Ba开始过程中从原来的3点中挑选另外2点。gydF4y2Ba% xb (1:3), yb (1:3)gydF4y2Ba如果gydF4y2Ba(y (1) > SOCEndTrg)gydF4y2Ba% y(1)> SOCEndTrg，我们需要选择其他点< SOCEndTrggydF4y2Ba如果gydF4y2Ba((yb(2) < SOCEndTrg) && (SOCEndTrg < yb(3))))gydF4y2Ba% yb(2) < SOCEndTrg，选择yb(2)gydF4y2Bax (2) = xb (2);y (2) = yb (2);gydF4y2Ba如果gydF4y2Ba(abs (yb (1) -SOCEndTrg) < abs (yb (3) -SOCEndTrg))gydF4y2Ba%从xb(1)和xb(3)中选取最后一个点，根据到SOCEndTrg的最短距离gydF4y2Bax (3) = xb (1);y (3) = yb (1);gydF4y2Ba其他的gydF4y2Bax (3) = xb (3);y (3) = yb (3);gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((yb(1) < SOCEndTrg) && (SOCEndTrg < yb(2))))gydF4y2Ba% yb(1) < SOCEndTrg，选择yb(1)gydF4y2Bax (2) = xb (1);y (2) = yb (1);gydF4y2Ba如果gydF4y2Ba(abs (yb (2) -SOCEndTrg) < abs (yb (3) -SOCEndTrg))gydF4y2Ba%从xb(2)和xb(3)中选取最后一个点，根据到SOCEndTrg的最短距离gydF4y2Bax (3) = xb (2);y (3) = yb (2);gydF4y2Ba其他的gydF4y2Bax (3) = xb (3);y (3) = yb (3);gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(y (1) < SOCEndTrg)gydF4y2Ba% y(1)< SOCEndTrg，我们需要选择其他点> SOCEndTrggydF4y2Ba如果gydF4y2Ba((yb(2) < SOCEndTrg) && (SOCEndTrg < yb(3))))gydF4y2Ba% yb(3) > SOCEndTrg, pick yb(3)gydF4y2Bax (2) = xb (3);y (2) = yb (3);gydF4y2Ba如果gydF4y2Ba(abs (yb (1) -SOCEndTrg) < abs (yb (2) -SOCEndTrg))gydF4y2Ba%从xb(1)和xb(2)中选取最后一个点，根据到SOCEndTrg的最短距离gydF4y2Bax (3) = xb (1);y (3) = yb (1);gydF4y2Ba其他的gydF4y2Bax (3) = xb (2);y (3) = yb (2);gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((yb(1) < SOCEndTrg) && (SOCEndTrg < yb(2))))gydF4y2Ba% yb(2) > SOCEndTrg，选择这个点gydF4y2Bax (2) = xb (2);y (2) = yb (2);gydF4y2Ba如果gydF4y2Ba(abs (yb (1) -SOCEndTrg) < abs (yb (3) -SOCEndTrg))gydF4y2Ba%从xb(1)和xb(3)中选取最后一个点，根据到SOCEndTrg的最短距离gydF4y2Bax (3) = xb (1);y (3) = yb (1);gydF4y2Ba其他的gydF4y2Bax (3) = xb (3);y (3) = yb (3);gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Bay_abs = abs (y-SOCEndTrg);[yb, II] = sort(y_abs，gydF4y2Ba“提升”gydF4y2Ba）;xb = x (II);ECMS_s = xb (1);gydF4y2Ba结束gydF4y2Ba持有gydF4y2Ba从gydF4y2Ba；gydF4y2Ba

图中包含两个坐标轴对象和另一个subplottext类型的对象。坐标轴对象1包含4个line类型的对象。Axes对象2为空。gydF4y2Ba

toc;gydF4y2Ba

运行时间为656.183812秒。gydF4y2Ba

如果gydF4y2Ba(solution_found == 1) fprintf (gydF4y2Ba的搜索聚合。ECMS_s参数已在模型中更新。\ n”gydF4y2Ba）;流(gydF4y2Ba'ECMS_s = %f, SOCEndTrg = %f, SOC_end = %f \n'gydF4y2Ba, SOCEndTrg ECMS_s SOC_end);gydF4y2Ba结束gydF4y2Ba

搜索聚合。ECMS_s参数已在模型中更新。gydF4y2Ba

ECMS_s = 4.732032, SOCEndTrg = 85.000000, SOC_end = 84.960746gydF4y2Ba

如果gydF4y2Ba(solution_found == 0)gydF4y2Ba“搜索未能汇合。模型中更新了一个近似的ECMS_s。\ n”gydF4y2Ba）;流(gydF4y2Ba有关建议，请参阅示例页面的“故障排除”部分。\ n”gydF4y2Ba）;gydF4y2Ba结束gydF4y2BaECMS_s_tune = ECMS_s;gydF4y2Ba%重置模型gydF4y2BaSimulink.sdi.markSignalForStreaming (x1,gydF4y2Ba“关闭”gydF4y2Ba）;load_system ctrlMdl set_param (ctrlMdl +gydF4y2Ba“/ ecm”gydF4y2Ba，gydF4y2Ba“ECMS_s”gydF4y2BabaseParamName) save_system (mdlName [],gydF4y2Ba“SaveDirtyReferencedModels”gydF4y2Ba，gydF4y2Ba“上”gydF4y2Ba）;gydF4y2Ba%更新模型和simgydF4y2Ba探测= get_param (ctrlMdl,gydF4y2Ba“modelworkspace”gydF4y2Ba）;gydF4y2Ba%获得工作空间gydF4y2Bahws.assignin (gydF4y2Ba“ECMS_s”gydF4y2Ba, ECMS_s);save_system (ctrlMdl [],gydF4y2Ba“SaveDirtyReferencedModels”gydF4y2Ba，gydF4y2Ba“上”gydF4y2Ba）;open_system (mdlName);load_system (battMdl);battChrgMaxValue_obj = getVariable (get_param (battMdlgydF4y2Ba“modelworkspace”gydF4y2Ba)，gydF4y2Ba“BattChargeMax”gydF4y2Ba）;gydF4y2Ba如果gydF4y2Baisnumeric (battChrgMaxValue_obj);battChrgMaxValue = battChrgMaxValue_obj;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba~ isnumeric (battChrgMaxValue_obj);battChrgMaxValue = battChrgMaxValue_obj.Value;gydF4y2Ba结束gydF4y2Ba在= in.setVariable (gydF4y2Ba“BattCapInit”gydF4y2Ba, battChrgMaxValue * SOCinit,gydF4y2Ba“工作区”gydF4y2Ba, battMdl);在= in.setVariable (gydF4y2Ba“SOCTrgt”gydF4y2BaSOCEndTrg,gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);在= in.setVariable (gydF4y2Ba“SOCmin”gydF4y2Ba马克斯(SOCEndTrg-20 20.5),gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);在= in.setVariable (gydF4y2Ba“SOCmax”gydF4y2Ba分钟(SOCEndTrg + 20100),gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);set_param (ctrlMdl +gydF4y2Ba“/ ecm”gydF4y2Ba，gydF4y2Ba“ECMS_s”gydF4y2Ba，gydF4y2Ba“ECMS_s”gydF4y2Ba）;save_system (battMdl);save_system (ctrlMdl);gydF4y2Ba% sim(的);gydF4y2Ba% open_system(mdlName+"/可视化/性能和FE范围");gydF4y2Ba

函数gydF4y2Bain = ModelSetVariable (mdlName, battChrgMaxValue, SOCinit, battMdl, SOCEndTrg, ctrlMdl) in = Simulink.SimulationInput(mdlName);在= in.setVariable (gydF4y2Ba“BattCapInit”gydF4y2Ba, battChrgMaxValue * SOCinit,gydF4y2Ba“工作区”gydF4y2Ba, battMdl);在= in.setVariable (gydF4y2Ba“SOCTrgt”gydF4y2BaSOCEndTrg,gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);在= in.setVariable (gydF4y2Ba“SOCmin”gydF4y2Ba马克斯(SOCEndTrg-20 20.5),gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);在= in.setVariable (gydF4y2Ba“SOCmax”gydF4y2Ba分钟(SOCEndTrg + 20100),gydF4y2Ba“工作区”gydF4y2Ba, ctrlMdl);gydF4y2Ba结束gydF4y2Ba函数gydF4y2Ba[x_out, y_out, ECMS_s, SOC_end, solution_found] = dSOC_generate_starting_points (in, ECMS_CurrentValue, SOCEndTrg) x_out = 0 (3,1);Y_out = 0 (3,1);X = 0 (4,1);Y = 0 (4,1);solution_found = 0;ECMS_s = ECMS_CurrentValue;α= 0.8;托尔= 1;x1 = ECMS_CurrentValue;gydF4y2Ba%使用当前ECMS_s值作为起点gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Bax1);[SOC_end, dSOC] = dSOCsim_v1(的);gydF4y2Ba%评估x1的结果gydF4y2Ba日元= SOC_end;次要情节(1、2、1);情节(x1, dSOC,gydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba, 15)gydF4y2Ba在gydF4y2Ba流(gydF4y2Ba'x1 = %f, y1 = %f \n'gydF4y2Ba(x1, y1);gydF4y2Ba如果gydF4y2Ba(abs(y1 - SOCEndTrg) <= tol)gydF4y2Ba检查是否找到解决方案。gydF4y2BaECMS_s = x1;SOC_end = y₁;solution_found = 1;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y1 > SOCEndTrg) && (solution_found == 0)) x2 = x1 - ECMS_S_dis_up (x1, y1, SOCEndTrg);gydF4y2Ba%使用减少的ECMS_s值作为x2gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Bax2);[SOC_end, dSOC] = dSOCsim_v1(的);y2 = SOC_end;次要情节(1、2、1);情节(x2, dSOC,gydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba, 15)gydF4y2Ba在gydF4y2Ba流(gydF4y2Ba'x2 = %f, y2 = %f \n'gydF4y2Bax2, y2);gydF4y2Ba如果gydF4y2Ba(abs(y2 - SOCEndTrg) <= tol)gydF4y2Ba检查是否找到解决方案。gydF4y2BaECMS_s = x2;SOC_end = y2;solution_found = 1;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y2 > SOCEndTrg) && (solution_found == 0))gydF4y2Ba% y2仍然太高gydF4y2Bay3_try = SOCEndTrg - 2;gydF4y2Ba%设置一个较低的SOC结束试验，将更容易得到y2 < SOC_EndTrggydF4y2BaX3 = x1 + *(y3_try -y1) *(x2-x1)/(y2-y1);gydF4y2Ba%用x1, y1, x2, y2来拟合一个线性函数gydF4y2Ba

$xgydF4y2Ba ＝gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} +gydF4y2Ba αgydF4y2Ba \frac{ygydF4y2Ba -gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba}}{{ygydF4y2Ba}_{2gydF4y2Ba} -gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba}} \timesgydF4y2Ba （gydF4y2Ba {xgydF4y2Ba}_{2gydF4y2Ba} -gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} ）gydF4y2Ba$ 这样gydF4y2Ba $xgydF4y2Ba ＝gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} 在gydF4y2Ba ygydF4y2Ba ＝gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba} ，gydF4y2Ba 而且gydF4y2Ba xgydF4y2Ba ＝gydF4y2Ba αgydF4y2Ba {xgydF4y2Ba}_{2gydF4y2Ba} +gydF4y2Ba （gydF4y2Ba 1gydF4y2Ba -gydF4y2Ba αgydF4y2Ba ）gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} 在gydF4y2Ba ygydF4y2Ba ＝gydF4y2Ba {ygydF4y2Ba}_{2gydF4y2Ba}$

dx = ECMS_S_dis_up (x2, y2, SOCEndTrg);gydF4y2Ba%得到预先定义的递减值gydF4y2BaX3 = min (X3, x2 - dx);gydF4y2Ba% x3的上限gydF4y2BaX3 = Max (X3, x2 - 2*dx);gydF4y2Bax3的%下限gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Ba、x3);gydF4y2Ba%设置x3值为ECMS_sgydF4y2Ba[SOC_end, dSOC] = dSOCsim_v1(的);gydF4y2Ba%评估gydF4y2Bay3 = SOC_end;次要情节(1、2、1);情节(x3, dSOCgydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba, 15)gydF4y2Ba在gydF4y2Ba流(gydF4y2Ba'x3 = %f, y3 = %f \n'gydF4y2Bax3, y3);gydF4y2Ba如果gydF4y2Ba(abs(y3 - SOCEndTrg) <= tol)gydF4y2Ba检查是否找到解决方案。gydF4y2BaECMS_s = x3;SOC_end = y3;solution_found = 1;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found == 0) x_out(1) = x1;x_out (2) = x2;x_out (3) = x3;y_out (1) = y₁;y_out (2) = y2;y_out (3) = y3;gydF4y2Ba%输出3分gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found = = 0)gydF4y2Ba如果gydF4y2Ba((y2 > SOCEndTrg) && (y3 >= SOCEndTrg))gydF4y2Ba%，如果y3仍然大于SOCEndTrg，再次降低它gydF4y2Ba为gydF4y2Bait_again = 1,10 [x(4)] = Second_order_roots (x_out, y_out, SOCEndTrg - 2);gydF4y2Ba%减少再次gydF4y2Badx = ECMS_S_dis_up (x_out (3)， y_out (3)， SOCEndTrg);gydF4y2Ba%的标准降低gydF4y2BaX (4) = Max (X (4)， x_out (3) - dx);gydF4y2Ba%使其高于标准涨幅gydF4y2BaX (4) = min (X (4)， x_out (3) - 2*dx);gydF4y2Ba%将增幅限制在标准的2倍以内gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Bax (4));[SOC_end， ~] = dSOCsim_v1(in);ECMS_s = x (4);y (4) = SOC_end;X_out (1) = X_out (2);Y_out (1) = Y_out (2);X_out (2) = X_out (3);Y_out (2) = Y_out (3);X_out (3) = x(4);y_out (3) = SOC_end;gydF4y2Ba如果gydF4y2Ba(abs(y(4) - SOCEndTrg) <= tol);gydF4y2Ba打破gydF4y2Ba；gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(SOC_end < = SOCEndTrg);gydF4y2Ba打破gydF4y2Ba；gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(abs(y(4) - SOCEndTrg) <= tol) ECMS_s = x(4);SOC_end = y (4);solution_found = 1;gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y2 < SOCEndTrg) && (solution_found == 0))gydF4y2Ba% y2小于SOCEndTrg，而y1大于SOCEndTrggydF4y2BaX_min = min (x1, x2);X_max = Max (x1, x2);Y_min = min(y1, y2);Y_max = Max (y1, y2);gydF4y2Ba%对最小值和最大值进行排序gydF4y2Baw_min = abs(y_min - socenttrg) / (abs(y_min - socenttrg) + abs(y_max - socenttrg));gydF4y2Ba%权重因子gydF4y2BaX3 = (1-w_min) * x_min + w_min * x_max;gydF4y2Ba% x3是x1和x2之间的加权插值gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Ba、x3);[SOC_end, dSOC] = dSOCsim_v1(的);y3 = SOC_end;次要情节(1、2、1);情节(x3, dSOCgydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba, 15)gydF4y2Ba在gydF4y2Ba流(gydF4y2Ba'x3 = %f, y3 = %f \n'gydF4y2Bax3, y3);gydF4y2Ba如果gydF4y2Ba(abs(y3 - SOCEndTrg) <= tol) ECMS_s = x3;SOC_end = y3;solution_found = 1;gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found == 0) x_out(1) = x1;x_out (2) = x2;x_out (3) = x3;y_out (1) = y₁;y_out (2) = y2;y_out (3) = y3;gydF4y2Ba%输出3分gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y1 < SOCEndTrg) && (solution_found == 0))gydF4y2Ba% y1 < SOCEndTrggydF4y2Bax2 = x1 + ECMS_S_dis_up (x1, y1, SOCEndTrg);gydF4y2Ba%使用较高的ECMS_s值作为x2gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Bax2);[SOC_end, dSOC] = dSOCsim_v1(的);y2 = SOC_end;次要情节(1、2、1);情节(x2, dSOC,gydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba(15)流gydF4y2Ba'x2 = %f, y2 = %f \n'gydF4y2Bax2, y2);gydF4y2Ba如果gydF4y2Ba(abs(y2 - SOCEndTrg) <= tol) ECMS_s = x2;SOC_end = y2;solution_found = 1;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y2 < SOCEndTrg) && (solution_found == 0))gydF4y2Ba% x2不够高gydF4y2Bay3_try = SOCEndTrg + 2;gydF4y2Ba%设置更高的SOC目标gydF4y2Ba

$xgydF4y2Ba ＝gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} +gydF4y2Ba αgydF4y2Ba \frac{ygydF4y2Ba -gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba}}{{ygydF4y2Ba}_{2gydF4y2Ba} -gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba}} （gydF4y2Ba {xgydF4y2Ba}_{2gydF4y2Ba} -gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} ）gydF4y2Ba ，gydF4y2Ba xgydF4y2Ba ＝gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} ，gydF4y2Ba 在gydF4y2Ba ygydF4y2Ba ＝gydF4y2Ba {ygydF4y2Ba}_{1gydF4y2Ba} ，gydF4y2Ba xgydF4y2Ba ＝gydF4y2Ba αgydF4y2Ba {xgydF4y2Ba}_{2gydF4y2Ba} +gydF4y2Ba （gydF4y2Ba 1gydF4y2Ba -gydF4y2Ba αgydF4y2Ba ）gydF4y2Ba {xgydF4y2Ba}_{1gydF4y2Ba} 在gydF4y2Ba ygydF4y2Ba ＝gydF4y2Ba {ygydF4y2Ba}_{2gydF4y2Ba}$ ，gydF4y2Ba

X3 = x1 + *(y3_try -y1) *(x2-x1)/(y2-y1);gydF4y2Ba%使用x1, y1, x2, y2作为线性预测gydF4y2Badx = ECMS_S_dis_up (x2, y2, SOCEndTrg);gydF4y2Ba%的标准提高gydF4y2BaX3 = Max (X3, x2 + dx);gydF4y2Bax3的%下限gydF4y2BaX3 = min (X3, x2 + 2*dx);gydF4y2Ba% x3的上限gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Ba、x3);[SOC_end, dSOC] = dSOCsim_v1(的);y3 = SOC_end;次要情节(1、2、1);情节(x3, dSOCgydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba(15)流gydF4y2Ba'x3 = %f, y3 = %f \n'gydF4y2Bax3, y3);gydF4y2Ba如果gydF4y2Ba(abs(y3 - SOCEndTrg) <= tol) ECMS_s = x3;SOC_end = y3;solution_found = 1;gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found == 0) x_out(1) = x1;x_out (2) = x2;x_out (3) = x3;y_out (1) = y₁;y_out (2) = y2;y_out (3) = y3;gydF4y2Ba%输出3分gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found = = 0)gydF4y2Ba如果gydF4y2Ba((y2 < SOCEndTrg) && (y3 <= SOCEndTrg))gydF4y2Ba% y3仍然不够高gydF4y2Ba为gydF4y2Bait_again = 1: 10 [x(4)] = Second_order_roots (x_out, y_out, SOCEndTrg + 2);gydF4y2Ba%再次增加gydF4y2Badx = ECMS_S_dis_up (x_out (3)， y_out (3)， SOCEndTrg);gydF4y2Ba%的标准提高gydF4y2BaX (4) = Max (X (4)， x_out (3) + dx);gydF4y2Ba%使其高于标准涨幅gydF4y2BaX (4) = min (X (4)， x_out (3) + 2*dx);gydF4y2Ba%将增幅限制在标准的2倍以内gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Bax (4));[SOC_end, dSOC] = dSOCsim_v1(in);ECMS_s = x (4);y (4) = SOC_end;X_out (1) = X_out (2);Y_out (1) = Y_out (2);X_out (2) = X_out (3);Y_out (2) = Y_out (3);X_out (3) = x(4);y_out (3) = SOC_end;gydF4y2Ba如果gydF4y2Ba(SOC_end > = SOCEndTrg);gydF4y2Ba打破gydF4y2Ba；gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(abs(y(4) - SOCEndTrg) <= tol);gydF4y2Ba打破gydF4y2Ba；gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba次要情节(1、2、1);dSOC情节(x (4),gydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba(15)流gydF4y2Ba'x(4) = %f, y(4) = %f \n'gydF4y2Bax (4), y (4));gydF4y2Ba如果gydF4y2Ba(abs(y(4) - SOCEndTrg) <= tol) ECMS_s = x(4);SOC_end = y (4);solution_found = 1;gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba((y2 > SOCEndTrg) && (solution_found == 0))gydF4y2Ba% y2是好的gydF4y2BaX_min = min (x1, x2);X_max = Max (x1, x2);Y_min = min(y1, y2);Y_max = Max (y1, y2);gydF4y2Ba%得到x1 x2 y1 y2的最小值和最大值gydF4y2Baw_min = abs(y_min - socenttrg) / (abs(y_min - socenttrg) + abs(y_max - socenttrg));gydF4y2Ba%加权系数gydF4y2BaX3 = (1-w_min) * x_min + w_min * x_max;gydF4y2Ba%在x1和x2之间进行加权插值gydF4y2Ba在= in.setVariable (gydF4y2Ba“ECMS_s_tune”gydF4y2Ba、x3);[SOC_end, dSOC] = dSOCsim_v1(的);y3 = SOC_end;次要情节(1、2、1);情节(x3, dSOCgydF4y2Ba“废话”gydF4y2Ba，gydF4y2Ba“MarkerSize”gydF4y2Ba(15)流gydF4y2Ba'x3 = %f, y3 = %f \n'gydF4y2Bax3, y3);gydF4y2Ba如果gydF4y2Ba(abs(y3 - SOCEndTrg) <= tol) ECMS_s = x3;SOC_end = y3;solution_found = 1;gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba如果gydF4y2Ba(solution_found == 0) x_out(1) = x1;x_out (2) = x2;x_out (3) = x3;y_out (1) = y₁;y_out (2) = y2;y_out (3) = y3;gydF4y2Ba%输出三分gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba函数gydF4y2Ba[SOC_end, dSOC] = dSOCsim_v1 () = sim(的);gydF4y2Ba% 2 = 1:长度()gydF4y2Ba如果gydF4y2Baisempty (out.ErrorMessage) SOC = out.logsout.getElement (gydF4y2Ba电池SOC的gydF4y2Ba) .Values.Data;dSOC = SOC(结束)SOC (1);SOC_end = SOC(结束);gydF4y2Ba其他的gydF4y2BadSOC =南;gydF4y2Ba结束gydF4y2Ba结束gydF4y2Ba函数gydF4y2Badx = ECMS_S_dis_up (ECMS_s, y, SOC_target)gydF4y2Ba%函数计算标准dx = ECMS_s的增加/减少gydF4y2Ba% the dx正比于SOC_end (y)和SOC_Target之间的距离gydF4y2Ba%同样，dx与ECMS_s成正比，a, c, ff可以调整gydF4y2Baff = 0.05;一个= 0.015;c = 3.5;b = ECMS_s / c;gydF4y2Ba% ECMS_s效应gydF4y2Ba如果gydF4y2Ba(ECMS_s < c - 0.1);b = 1;gydF4y2Ba结束gydF4y2Badx = a + b * abs(y-SOC_target) * ff;gydF4y2Ba结束gydF4y2Ba函数gydF4y2Ba[z] = Second_order_roots (x, y, y_tar)gydF4y2Ba

$解决gydF4y2Ba 的gydF4y2Ba 方程gydF4y2Ba {ygydF4y2Ba}_{tgydF4y2Ba 一个gydF4y2Ba rgydF4y2Ba} ＝gydF4y2Ba 一个gydF4y2Ba {zgydF4y2Ba}^{2gydF4y2Ba} +gydF4y2Ba bgydF4y2Ba zgydF4y2Ba +gydF4y2Ba cgydF4y2Ba ，gydF4y2Ba 与gydF4y2Ba {ygydF4y2Ba}_{我gydF4y2Ba} ＝gydF4y2Ba 一个gydF4y2Ba {xgydF4y2Ba}_{我gydF4y2Ba}^{2gydF4y2Ba} +gydF4y2Ba bgydF4y2Ba {xgydF4y2Ba}_{我gydF4y2Ba} +gydF4y2Ba cgydF4y2Ba ，gydF4y2Ba 为gydF4y2Ba 1gydF4y2Ba \leqgydF4y2Ba 我gydF4y2Ba \leqgydF4y2Ba 3.gydF4y2Ba ．gydF4y2Ba$

D1 = y(1) / (x(1) - x(2)) / (x(1) - x(3));D2 = y(2) / (x(2) - x(1)) / (x(2) - x(3));D3 = y(3) / (x(3) - x(1)) / (x(3) - x(2));AA = (d1 + d2 + d3);BB = - (d1 * x (x (2) + (3) + d2 * x (x (1) + (3) + d3 * x (x (1) + (2)));CC = d1 * x (2) * (3) + d2 * x (1) * (3) + d3 * x (1) * (2) - y_tar;z1 = (-BB +√(BB*BB - 4 * AA * CC)) / 2 / AA;z =实际(z1);gydF4y2Ba结束gydF4y2Ba

另请参阅gydF4y2Ba

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