首页 | 本学科首页   官方微博 | 高级检索  
     检索      

混合动力系统滑行模式模拟发动机倒拖制动
引用本文:王锋;钟虎;马兹林;冒晓建;卓斌.混合动力系统滑行模式模拟发动机倒拖制动[J].华南理工大学学报(自然科学版),2009,37(7).
作者姓名:王锋;钟虎;马兹林;冒晓建;卓斌
作者单位:上海交通大学,机械与动力工程学院,上海,200240 
基金项目:国家"863"高技术计划项目 
摘    要:根据并联式混合动力系统结构特点进行模拟发动机倒拖制动(Emulated Engine Compression Braking EECB)的操作。当整车处于滑行模式时,离合器断开,电机处在发电模式提供负转矩来模拟发动机倒拖转矩对蓄电池充电,从而回收滑行能量。考虑电机发电效率和蓄电池充电效率,提出以进入蓄电池的实际电能最大化为目标的电机转矩优化控制算法(Electric-motor Torque Optimization ETO),并确定了电机最优化转矩和机械式自动变速箱最优化档位控制规律。仿真结果表明:与EECB相比,运用EECB+ETO,蓄电池SOC的增幅有了明显的提高。

关 键 词:混合动力系统  模拟发动机倒拖制动  电机转矩优化  效率  
收稿时间:2008-5-20
修稿时间:2008-9-8

Emulated engine compression braking for hybrid electric vehicles during coasting
Abstract:During coasting, an emulated engine compression braking (EECB) is proposed to make use of the coasting energy to improve fuel economy for hybrid electric vehicles. The electric clutch is disengaged, and the electric-motor (EM) provides the negative torque to emulate the engine drag torque to charge the battery. An EM torque optimization (ETO) control algorithm is implemented to maximize the actual electric power recuperated by the battery and obtain the EM optimal torque and corresponding optimal shift of the automated mechanical transmission, in which the EM generation efficiency and battery charging efficiency are both explicitly taken into account. Simulation results show that the EECB with ETO can be able to offer improved battery SOC compared with the EECB.
Keywords:Hybrid electric vehicle  Emulated engine compression braking (EECB)  Electric-motor torque optimization (ETO)  Efficiency
本文献已被 万方数据 等数据库收录!
点击此处可从《华南理工大学学报(自然科学版)》浏览原始摘要信息
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号