驾驶员操作偏差对经济性测试转鼓试验的影响研究

为研究驾驶员操作偏差对汽车经济性测试结果的影响,以并联式混合动力汽车为例,在ADVISOR软件平台上并基于NEDC测试工况,进行驾驶员操作偏差对经济性测试转鼓试验结果影响的仿真研究,分析了驾驶员操作恒定偏差、周期偏差和随机偏差等对混合动力汽车经济性的影响规律,为转鼓试验台精确测试混合动力汽车的经济性以及制定相关法规提供了依据。     

Wave spectrum estimation conditioned on machine learning-based output using the wave buoy analogy

In this work, a hybrid approach for wave spectrum estimation is proposed. Fundamentally, the approach is based on the wave buoy analogy, processing ship response measurements, via a framework combining machine learning and a physics-based method dependent on available transfer functions. Specifically, a non-parametric (Bayesian) estimate is obtained of the directional wave spectrum conditioned on integral wave parameters established by a convolutional neural network. The developed method is assessed in a case study considering about two years of data obtained from an in-service container ship. The method produces good results, significantly improved when compared to the initial estimate made without constraints.