Plug_in电动车能量管理控制器研究  

The research and design of a novel PHEV energy management controller

作　　者：肖铎[1] 庞文尧[1] 汪秋婷[1] 戚伟[1] 

机构地区：[1]浙江大学城市学院,浙江杭州310015

出　　处：《电子技术应用》2012年第11期70-72,76,共4页Application of Electronic Technique

基　　金：浙江省教育厅科技计划(Y201223384)

摘　　要：基于模糊神经网络算法研究设计Plug_in混合动力汽车整车能量管理控制器。将驾驶行为用神经网络进行建模,驾驶模式、踏板(油门和刹车)位置以及当前车轮力矩作为神经网络输入,目标力矩作为输出;将道路类型、目标力矩、电池SOC、当前车轮力矩为模糊输入变量,以满足整车动力性能、燃油经济性和极限边界极值为约束条件,对混合动力汽车的能量进行分配与管理,并在DSP硬件平台设计实现能量管理控制器。测试表明,行驶里程在40 km内时,样车等价燃油经济性最好,随着行驶里程的增加,燃油经济性下降,整个测试过程中样车动力性能以及各部件工况良好。The paper proposed an energy management controller of Plug_in hybrid electric vehicle（PHEV）based on fuzzy neural network algorithm. With driving mode, pedal （throttle and brake） position and current wheel torque as input, and the target torque as output, driving behavior was modeling by neural network algorithm. With the type of road, the target torque, battery SOC, and the current wheel torque for the fuzzy input variable, the vehicle power performance and the fuel economy as constraint condition, the power was distributed between the motor and the engine by fuzzy algorithm. The energy distribution and management controller was designed based on the algorithm on DSP hardware platform. The result of testing shows that, in the mileage 40 km equivalent fuel economy was the best, with the increase of the mileage fuel economic declined. In the whole testing process, the power perfor- mance is good, and every parts of the hybrid electric vehicle were in good working condition.

关 键 词：Plug_in混合动力 能量管理 模糊神经网络 

分 类 号：U46[机械工程—车辆工程]