摘要
驾驶行为对汽车运行燃油消耗有重要的影响,规范驾驶行为,实现节能驾驶是汽车节能的必然途径。从分析典型汽车行驶工况入手,根据不同行驶工况下的汽车能耗模型,以能耗最小为目标,构建了汽车节能运行计算模型,基于模型预测、神经网络等理论,提出了面向汽车节能驾驶的燃油消耗在线优化、预测控制和反馈校正方法,建立了汽车节能驾驶实时控制模型,描述了汽车节能驾驶虚拟实验平台和实车实验系统的基本框架,以实现汽车节能驾驶实时控制模型的评价、验证和优化。
driving behavior exerts great influence on fuel consumption,which is necessary to vehicle energy-saving to normalize driving behavior and realize energy-saving driving. Starting with the analysis of typical running conditions vehicle fuel consumption model in different running condition, computation model of vehicle energy-saving motion for mimimizing enengy consumption is built according to vehicle fuel consumption model in different running condition. Based on model prediction and neural network theory, the method of online optimization for fuel consumption, predictive control and feedback correction is put forward, and a real time control model for vehicle energy-saving driving is constructed. Meatime, the basic frame of virtual experiment platform and real vehicle tests shows for vehicle energy-saving driving is described to evaluate, tesitify and improve the real time control model for vehicle energy-saving driving.
出处
《机械设计与制造》
北大核心
2013年第9期237-239,共3页
Machinery Design & Manufacture
基金
湖北省高校优秀中青年科技创新团队(T201014)
湖北省自然科学基金面上项目(2011CDC107)
湖北省教育厅科研项目(B20114401)
关键词
汽车节能。驾驶
实时控制
虚拟实验
Vehicle Energy-Saving
Drive, Real Time Control
Virtual Experiment
