为了充分挖掘插电式混合动力公交车(Plug-in hybrid electric bus， PHEB)的节油潜力、增强车辆对不同类型驾驶员的自适应性，在基于规则类的控制策略基础上，增加驾驶员意图识别模型。对驾驶风格及加速意图进行模糊识别，通过驾驶员在环的半实物仿真验证了识别模型，以驾驶风格和加速意图识别结果为输入，建立转矩修正系数k的模糊控制器，反模糊化输出k值，对需求转矩进行修正。用system test工具将模糊控制器生成对应的模糊查询表。仿真及试验结果表明：有驾驶员意图识别控制策略较无驾驶员意图识别控制策略更加适应PHEB的运营、用电机制且燃油经济性进一步提高了1.8%。

In order to fully explore plug-in hybrid electric bus (PHEB) fuel saving potential,enhance the adaptability of different types of vehicle driver,the model of driver’s intention recognition is increased base on the control strategy of rules. To fuzzy recognition of driving style and accelerating intention built the identification model which is proved by the semi physical simulation of driver in the loop. The torque correction coefficientk of the fuzzy recognizer,what the input of the results of the driving style and accelerated intention,is established,and thenk is got though defuzzificating and modifying the demand torque. The fuzzy query table is generated correspondingly using test system tool. The simulation and experiment results show that the control strategy of driver’s intention is more suitable for the operation and electric mechanism of PHEB,fuel economy is improved by 1.8%.