The integration of eco-driving and cooperative adaptive cruise control(CACC)with platoon cooperative control(eco-CACC)has emerged as a pivotal approach for improving vehicle energy efficiency.Nonetheless,the prevailin...The integration of eco-driving and cooperative adaptive cruise control(CACC)with platoon cooperative control(eco-CACC)has emerged as a pivotal approach for improving vehicle energy efficiency.Nonetheless,the prevailing eco-CACC implementations still exhibit limitations in fully harnessing the potential energy savings.This can be attributed to the intricate nature of the problem,characterized by its high nonlinearity and non-convexity,making it challenging for conventional solving methods to find solutions.In this paper,a novel strategy based on a decentralized model predictive control(MPC)framework,called predictive ecological cooperative control(PECC),is proposed for vehicle platoon control on hilly roads,aiming to maximize the overall energy efficiency of the platoon.Unlike most existing literature that focuses on suboptimal coordination under predefined leading vehicle trajectories,this strategy employs an approach based on the combination of a long short-term memory network(LSTM)and genetic algorithm(GA)optimization(GA-LSTM)to predict the future speed of the leading vehicle.Notably,a function named the NotchFilter function(NF(?))is introduced to transform the hard state constraints in the eco-CACC problem,thereby alleviating the burden of problem-solving.Finally,through simulation comparisons between PECC and a strategy based on the common eco-CACC modifications,the effectiveness of PECC in improving platoon energy efficiency is demonstrated.展开更多
目的总结虚拟现实技术用于缓和医疗的基本内容,分析其应用效果和现存问题,为进一步规范和优化虚拟现实技术的应用提供依据。方法系统检索PubMed、Embase、CINAHL、Web of Science、Cochrane Library、中国知网、万方数据、维普网、中国...目的总结虚拟现实技术用于缓和医疗的基本内容,分析其应用效果和现存问题,为进一步规范和优化虚拟现实技术的应用提供依据。方法系统检索PubMed、Embase、CINAHL、Web of Science、Cochrane Library、中国知网、万方数据、维普网、中国生物医学文献数据库中的相关研究。检索时间为建库至2023年2月18日,由2名研究人员独立筛选并提取资料。结果共纳入16篇文献。虚拟现实技术干预主要内容要素为个性化视频课程、自然风景视频、特制生命回顾课程的沉浸式和非沉浸式体验,干预的有效性和可行性已得到初步证实。结论虚拟现实技术在缓和医疗中的应用处于起步阶段,具有使用前景。未来仍需要开展大样本、高质量的随机对照试验来验证虚拟现实技术在缓和医疗中的应用效果,为制定最佳虚拟现实技术干预方案提供循证依据。展开更多
基金Supported by National Natural Science Foundation of China(Grant Nos.52172383,51805081)Jiangsu Provincial Postgraduate Research&Practice Innovation Program(Grant No.KYCX22_0196)。
文摘The integration of eco-driving and cooperative adaptive cruise control(CACC)with platoon cooperative control(eco-CACC)has emerged as a pivotal approach for improving vehicle energy efficiency.Nonetheless,the prevailing eco-CACC implementations still exhibit limitations in fully harnessing the potential energy savings.This can be attributed to the intricate nature of the problem,characterized by its high nonlinearity and non-convexity,making it challenging for conventional solving methods to find solutions.In this paper,a novel strategy based on a decentralized model predictive control(MPC)framework,called predictive ecological cooperative control(PECC),is proposed for vehicle platoon control on hilly roads,aiming to maximize the overall energy efficiency of the platoon.Unlike most existing literature that focuses on suboptimal coordination under predefined leading vehicle trajectories,this strategy employs an approach based on the combination of a long short-term memory network(LSTM)and genetic algorithm(GA)optimization(GA-LSTM)to predict the future speed of the leading vehicle.Notably,a function named the NotchFilter function(NF(?))is introduced to transform the hard state constraints in the eco-CACC problem,thereby alleviating the burden of problem-solving.Finally,through simulation comparisons between PECC and a strategy based on the common eco-CACC modifications,the effectiveness of PECC in improving platoon energy efficiency is demonstrated.
文摘目的总结虚拟现实技术用于缓和医疗的基本内容,分析其应用效果和现存问题,为进一步规范和优化虚拟现实技术的应用提供依据。方法系统检索PubMed、Embase、CINAHL、Web of Science、Cochrane Library、中国知网、万方数据、维普网、中国生物医学文献数据库中的相关研究。检索时间为建库至2023年2月18日,由2名研究人员独立筛选并提取资料。结果共纳入16篇文献。虚拟现实技术干预主要内容要素为个性化视频课程、自然风景视频、特制生命回顾课程的沉浸式和非沉浸式体验,干预的有效性和可行性已得到初步证实。结论虚拟现实技术在缓和医疗中的应用处于起步阶段,具有使用前景。未来仍需要开展大样本、高质量的随机对照试验来验证虚拟现实技术在缓和医疗中的应用效果,为制定最佳虚拟现实技术干预方案提供循证依据。
基金supported by National Natural Science Foundation of China,China(No.52101138)Natural Science Foundation of Hubei Province,China(No.2020CFB259)+7 种基金Shenzhen Science and Technology Program,China(No.JCYJ20220530160813032)State Key Lab of Advanced Metals and Materials,China(No.2020-Z01)State Key Laboratory for Mechanical Behavior of Materials,China(No.20202205)Guangdong Basic and Applied Basic Research Foundation,China(Nos.2020A1515110531,2021A1515111122)State Key Laboratory of Materials Processing and Die&Mold Technology,Huazhong University of Science and Technology,China(No.P2021-021)support from the National Natural Science Foundation of China(No.12004294)National Youth Talents Programsupport by Center for Alloy Innovation and Design(CAID)and HPC platform of Xi’an Jiaotong University。
