A06B-6093-H113  依据以上各模式工作范围的划分，满足当前速度、加速度以及驾驶员需求的工作模式可能有多种。为提高经济性，采用PSO优化各模式的系统效率，并根据当前行驶工况选择效率的工作模式。据此，本文中制定基于PSO系统效率优化的双电机耦合驱动系统控制策略，其框架如图4所示。控制策略是根据当前工况选择效率工作模式，具体步骤如下：

（1）判断满足当前工况的工作模式的情况；若仅有一个适合的模式，则选择该模式；若存在多个驱动模式，则进入系统效率优化控制模式；

（2）计算满足当前工况的各个工作模式系统效率，其具体计算过程详见1.2.2节；

（3）选择系统效率最高的工作模式作为当前工作模式以提高整车经济性。

图4 基于粒子群算法的模式划分及控制流程

2.2.1 TC模式下的系统效率优化

TC模式下，两电机的转速与车速成比例，两电机的转矩相耦合，可以在约束范围内进行调节。采用粒子群优化算法优化两电机的转矩分配，以获得系统效率。PSO算法初始参数和系统效率流程如图5所示。TC模式系统效率优化过程为：给定速度和加速度，通过粒子群优化算法获得电机M1、M2的目标转矩，使系统效率ηTC达到。优化模型如下。

在SC模式下，两电机的转矩与驱动力矩成比例，两电机的转速相耦合，可以在约束范围内调节。与TC模式类似，SC模式获取系统效率关键是合理分配两电机的转速。同样采用粒子群算法优化，具体求解过程与TC模式类似。图8为SOC＝0.9时优化后不同模式下的系统效率。适合当前工况的驱动模式可通过比较该工况下4种驱动模式的系统效率而得出，即可以获得4个工作模式的工作边界，如图9（a）所示。为减少计算量并提高整车控制器工作效率，提前划分了各个工作模式的工作边界，如图9（b）所示。并将结果制成表格存储在控制器中，通过查表获得当前工作模式。

A06B-6093-H113  

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A06B-6093-H113