MULTI-RANGE VEHICLE SPEED PREDICTION USING VEHICLE CONNECTIVITY FOR ENHANCED ENERGY EFFICIENCY OF VEHICLES

    公开(公告)号:US20210318691A1

    公开(公告)日:2021-10-14

    申请号:US17225577

    申请日:2021-04-08

    IPC分类号: G05D1/02 H04W4/44

    摘要: An integrated speed prediction framework based on historical traffic data mining and real-time V2I communications for CAVs. The present framework provides multi-horizon speed predictions with different fidelity over short and long horizons. The present multi-horizon speed prediction is integrated with an economic model predictive control (MPC) strategy for the battery thermal management (BTM) of connected and automated electric vehicles (EVs) as a case study. The simulation results over real-world urban driving cycles confirm the enhanced prediction performance of the present data mining strategy over long prediction horizons. Despite the uncertainty in long-range CAV speed predictions, the vehicle level simulation results show that 14% and 19% energy savings can be accumulated sequentially through eco-driving and BTM optimization (eco-cooling), respectively, when compared with normal-driving and conventional BTM strategy.

    SYSTEMATIC CONFIGURATION AND MODE DESIGN FOR POWER SPLIT HYBRID VEHICLES USING MULTIPLE PLANETARY GEARS
    2.
    发明申请
    SYSTEMATIC CONFIGURATION AND MODE DESIGN FOR POWER SPLIT HYBRID VEHICLES USING MULTIPLE PLANETARY GEARS 审中-公开
    使用多个行星齿轮的动力分离混合动力车辆的系统配置和模式设计

    公开(公告)号:US20150324516A1

    公开(公告)日:2015-11-12

    申请号:US14706249

    申请日:2015-05-07

    IPC分类号: G06F17/50 G06F17/16 F16H57/08

    摘要: An automatic modeling and screening method capable of exhaustively searching through all configurations with all possible clutch locations and operating modes for a hybrid vehicle. By combining this method with Power-weighted Efficiency Analysis for Rapid Sizing (PEARS), a near-optimal and computationally efficient energy management strategy, it is feasible to search through an extremely large design space of configuration, component sizing and control to identify optimal designs for hybrid power vehicles.

    摘要翻译: 一种自动建模和筛选方法,可以全面搜索所有可能的离合器位置和混合动力车辆的操作模式。 通过将该方法与功率加权效率分析(PEARS)相结合,实现了一种接近最优和计算效率高的能量管理策略,可以通过非常大的配置,组件尺寸和控制设计空间来搜索以确定最佳设计 用于混合动力车辆。