为了兼顾平衡 SOC 与降低燃油消耗的需要，进一步提高插电式混合动力汽车的燃油经济性，对等效因子的实时优化方法进行了研究． 以 NEDC 工况为例，将行驶工况分解为不同的基本工况块，分别对各个基本工况块的等效因子与燃油消耗量、SOC 变化量的关系曲线进行线性拟合，并将等效因子实时优化问题转化为简单的线性规划问题，构建了基于线性规划的等效因子实时优化模型，在此基础上提出了基于线性规划的自适应等效燃油消耗最小策略( A-ECMS) ． 硬件在环测试证明，基于线性规划的等效因子实时优化模型的实时性满足实车控制器在线控制的需求，具备实车应用的可行性． 测试和仿真结果显示，在不同工况下基于线性规划模型的 A-ECMS 均可维持 SOC 平衡，取得接近于全局优化能量管理策略的燃油经济性，说明该实时优化模型具备实际应用价值和应用潜力．

The real-time optimization method of adaptive equivalent factors was studied，in oder to achieve a SOC balance and reduce fuel consumption and thus further improve the fuel economy of plug-in hybrid electric vehicles． The driving cycle NEDC was taken as an example and was decomposed into different basic driving-cycle block． The relationship curves between the equivalent factors and fuel consumption and SOC variation of each basic driving-cy- cle block were linearly fitted． The real-time optimization problem of equivalent factors was transformed into a simple linear programming problem，and the real-time optimization model of equivalent factors based on linear program- ming was constructed． Then a adaptive equivalent fuel consumption minimization strategy ( A-ECMS) based on li- near programming was proposed． Hardware-in-loop tests show that the real-time optimization method of equivalent factors based on linear programming model can meet the real-time online control requirements of vehicle controller， and it is feasible to apply it in real vehicles． The test and simulation results show that A-ECMS based on linear pro- gramming model can maintain a SOC balance and achieve a fuel economy which is close to the global optimal energy management strategy under different operating conditions． It verifies that the real-time optimization model has prac- tical application value and potential．