SBIR Phase II: Advanced Intelligent Control of Next Generation Vehicles

SBIR第二阶段：下一代车辆的先进智能控制

• 批准号: 9531830
• 负责人: Richard Saeks
• 金额: $ 31.98万
• 依托单位: Accurate Automation Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9531830&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Advanced; Intelligent

9531830 PI: Saeks This Small Business Innovation Research Phase II project will develop an integrated hierarchical neurocontrol system for a 4 motor / 4 wheel drive Hybrid Electric Vehicle (HEV). To achieve this goal a hierarchical neurocontroller will be developed for, the HEV's energy subsystem, and a vehicle management system will be designed to generate commands for the energy and vehicle control systems from driver input. The systems will be integrated with the vehicle control system developed under Phase I into a graphical vehicle simulator which will be used to evaluate the performance of the proposed neurocontrol system. Finally, these designs will be incorporated into a preliminary design for a Phase II road test vehicle. This will result in the design of a three level hierarchical neurocontrol system for a 4 motor / 4 wheel drive Hybrid Electric Vehicle, and will set the stage for a Phase III road test program and the commercialization of the proposed neurocontrol system. By virtue of its elimination of "all" drive train components, the 4 motor / 4 wheel drive HEV is ideally positioned to realize a three fold efficiency goal for a NGV. To realize the potential of this class of vehicle, a high performance control system is required. The successful completion of the proposed program will therefore lay the foundation for the development of the coming generation of HEV's by the U.S. automotive industry.

9531830 PI：SAEKS这个小型企业创新研究第二阶段项目将为4马达/4轮驱动混合动力汽车(HEV)开发一个集成的分级神经控制系统。为了实现这一目标，将为混合动力汽车的能源子系统开发一个分层神经控制器，并将设计一个车辆管理系统，以根据驾驶员的输入生成能源和车辆控制系统的命令。这些系统将与第一阶段开发的车辆控制系统集成到一个图形车辆模拟器中，该模拟器将用于评估拟议的神经控制系统的性能。最后，这些设计将被纳入第二阶段道路测试车辆的初步设计中。这将导致为4马达/4轮驱动混合动力汽车设计一个三级分级神经控制系统，并将为第三阶段道路测试计划和拟议的神经控制系统的商业化奠定基础。由于取消了“所有”传动系部件，4马达/4轮驱动混合动力汽车是实现NGV三倍能效目标的理想选择。为了实现这类车辆的潜力，需要一个高性能的控制系统。因此，拟议项目的成功完成将为美国汽车业开发下一代混合动力汽车奠定基础。