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Energy-optimal control of connected plug-in hybrid electric vehicles using traffic situation predictions in urban driving

Energy-optimal control of connected plug-in hybrid electric vehicles using traffic situation predictions in urban driving
利用城市驾驶中的交通状况预测对联网插电式混合动力电动汽车进行能量优化控制
批准号:
522964-2017
负责人:
LashgarianAzad, Nasser
金额:
$5.5万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
丰田加拿大汽车制造公司(Toyota Motor Manufacturing Canada, TMMC)和其他加拿大汽车制造商正面临越来越大的压力,要求他们生产更清洁、更省油的汽车,同时也要提高驾驶性能和安全性。在一辆车内满足这些广泛而雄心勃勃的标准对汽车公司来说是一个重大挑战,这将需要车辆控制系统的重大技术进步。本研究计划的主要目的是提高混合动力电动汽车和插电式混合动力汽车(HEV/ phev)的能量管理系统(EMS)和自适应巡航控制器(ACC)在能源效率方面的性能,使其适应城市驾驶中的各种交通情况。对于HEV/ phev, EMS和ACC系统对车辆的燃油经济性和能源效率有重要影响。这些控制器可以通过使用预测控制算法来显著改进,预测控制算法需要在不久的将来预测交通参与者的运动。车辆通信和传感系统的新进展可用于获得所需的交通状况预测。我们将使用这些预测的交通参与者运动信息来开发和工业级评估用于HEV/ phev的新型能源优化EMS和生态ACC (Eco-ACC)系统。除了作为随机过程的交通状况的不确定性之外,与车辆通信和传感相关的测量不确定性和不准确性将通过针对不完全数据系统的系统控制设计框架在所提出的控制器的开发中加以考虑。由此产生的EMS和Eco-ACC控制技术,虽然最初是为丰田普锐斯PHEV设计的,但将被广泛应用于丰田汽车,如雷克萨斯HEV和由TMMC生产的RAV4 HEV。
英文摘要
Toyota Motor Manufacturing Canada (TMMC) and other Canadian automobile manufacturers are under increasing pressure to produce cleaner and more fuel-efficient vehicles that also demonstrate improved drivability and safety. Meeting these broad and ambitious standards within a single vehicle is a major challenge for automobile companies which will require significant technological advances in vehicle control systems. The main purpose of this research proposal is to improve the performances of energy management system (EMS) and adaptive cruise controller (ACC) in terms of energy efficiency for hybrid electric vehicles and plug-in hybrids (HEV/PHEVs) by making them adaptable to individual traffic situations in urban driving. For HEV/PHEVs, EMS and ACC systems have significant effects on the vehicle's fuel economy and energy efficiency. These controllers can be significantly improved by using predictive control algorithms which require predictions of traffic participant motions in the near future. New advancements in vehicle communications and sensing systems can be used to obtain the required traffic situation predictions. We will use these predicted traffic participants motions information for development and industry-grade evaluation of novel energy-optimal EMS and ecological ACC (Eco-ACC) systems for HEV/PHEVs. In addition to the uncertainties of traffic situations as stochastic processes, the measurement uncertainties and inaccuracies associated with vehicle communications and sensing will be taken into account in the development of the proposed controllers through a systematic control design framework for systems with incomplete data.The resulting EMS and Eco-ACC control technologies, while initially designed for the Toyota Prius PHEV will be transferable to a broad range of Toyota vehicles, such as Lexus HEV and RAV4 HEV produced by TMMC.
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会议论文
Robust Cooperative Adaptive Cruise Control of Hybrid Electric Vehicles in Complex Urban Traffic Situations
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  • 项目类别:
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国内基金
海外基金
基于贝叶斯网络可靠度演进模型的城市雨水管网整体优化设计理论研究
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  • 项目类别:
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  • 批准年份:
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  • 负责人:
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最优证券设计及完善中国资本市场的路径选择
  • 批准号:
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  • 项目类别:
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  • 批准年份:
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  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 负责人:
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