A Convolutional Neural Network-Based Driving Cycle Prediction Method for Plug-in Hybrid Electric Vehicles With Bus Route
暂无分享,去创建一个
[1] Fengchun Sun,et al. Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles , 2017 .
[2] Dong Yu,et al. Deep Learning: Methods and Applications , 2014, Found. Trends Signal Process..
[3] Abbas Fotouhi,et al. Tehran driving cycle development using the k-means clustering method , 2013 .
[4] Petru Palcu,et al. Whole-Day Driving Prediction Control Strategy: Analysis on Real-World Drive Cycles , 2018, IEEE Transactions on Transportation Electrification.
[5] Ying Yang,et al. Driving Cycle Development for Electric Vehicle Application using Principal Component Analysis and K-means Cluster: With the Case of Shenyang, China , 2017 .
[6] Xin Wang,et al. Improving failures prediction by exploring weighted shape‐based time‐series clustering , 2018, Qual. Reliab. Eng. Int..
[7] Luis Gravano,et al. k-Shape: Efficient and Accurate Clustering of Time Series , 2015, SIGMOD Conference.
[8] Chengliang Yin,et al. Design of an energy management strategy for parallel hybrid electric vehicles using a logic threshold and instantaneous optimization method , 2009 .
[9] G. Glatting,et al. Comparison of five cluster validity indices performance in brain [18F]FET‐PET image segmentation using k‐means , 2017, Medical physics.
[10] Datong Qin,et al. A Dynamic Control Strategy for Hybrid Electric Vehicles Based on Parameter Optimization for Multiple Driving Cycles and Driving Pattern Recognition , 2017 .
[11] I Schifter,et al. A Driving Cycle for Vehicle Emissions Estimation in the Metropolitan Area of Mexico City , 2005, Environmental technology.
[12] Reza Langari,et al. Intelligent energy management agent for a parallel hybrid vehicle-part I: system architecture and design of the driving situation identification process , 2005, IEEE Transactions on Vehicular Technology.
[13] Chun Wang,et al. An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle , 2017 .
[14] Simon Fong,et al. Forecasting Energy Consumption from Smart Home Sensor Network by Deep Learning , 2017 .
[15] Jianqiu Li,et al. The influence of driving cycle characteristics on the integrated optimization of hybrid energy storage system for electric city buses , 2017 .
[16] Richard Millham,et al. Elephant search algorithm applied to data clustering , 2018, Soft Comput..
[17] Nilanjan Dey,et al. Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall , 2018, J. Ambient Intell. Humaniz. Comput..
[18] Edwin Tazelaar,et al. Driving cycle characterization and generation, for design and control of fuel cell buses , 2009 .
[19] Gianfranco Chicco,et al. Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings , 2018, Energy.
[20] Chao Yang,et al. Multimode Energy Management for Plug-In Hybrid Electric Buses Based on Driving Cycles Prediction , 2016, IEEE Transactions on Intelligent Transportation Systems.
[21] Guolin Wang,et al. Building Tianjin driving cycle based on linear discriminant analysis , 2017 .
[22] Zheng Chen,et al. Multi-objective parameter optimization for a single-shaft series-parallel plug-in hybrid electric bus using genetic algorithm , 2016, Science China Technological Sciences.
[23] Eamonn J. Keogh,et al. Clustering Time Series Using Unsupervised-Shapelets , 2012, 2012 IEEE 12th International Conference on Data Mining.
[24] Thorsten Benter,et al. Impact of driving style and road grade on gaseous exhaust emissions of passenger vehicles measured by a Portable Emission Measurement System (PEMS) , 2017 .
[25] Eva Ericsson,et al. Independent driving pattern factors and their influence on fuel-use and exhaust emission factors , 2001 .
[26] Yahui Zhang,et al. A hybrid dynamic programming-rule based algorithm for real-time energy optimization of plug-in hybrid electric bus , 2014 .
[27] Guillermo R. Bossio,et al. Optimization of power management in an hybrid electric vehicle using dynamic programming , 2006, Math. Comput. Simul..
[28] Seung-Ki Sul,et al. Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle , 1998, IEEE Trans. Ind. Electron..
[29] Geeta Sikka,et al. Recent Techniques of Clustering of Time Series Data: A Survey , 2012 .
[30] Bo Gao,et al. Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective , 2017, IEEE Transactions on Vehicular Technology.
[31] Hong Wang,et al. A novel energy management for hybrid off-road vehicles without future driving cycles as a priori , 2017 .
[32] Swarnajyoti Patra,et al. A fast automatic optimal threshold selection technique for image segmentation , 2017, Signal Image Video Process..
[33] Chandra Sekhar,et al. k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement , 2017 .