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Distance-oriented hierarchical control and ecological driving strategy for HEVs

机译:混合动力汽车的面向距离的分级控制和生态驾驶策略

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摘要

Hybrid electric vehicles (HEVs) provide a promising alternative to conventional engine-powered vehicles, with less emission and better fuel economy. This study proposes a hierarchical control for a power-split HEV over a driving cycle, featuring pre-trip optimisation and en-route speed adaption. Constraints including vehicle powertrain boundaries, road gradients, and speed limits, are taken into consideration. In the first stage, the HEV operating conditions, including the optimal vehicle SOC, speed profiles, and total driving time, are generated for the entire trip before departure. Based on the pre-trip results, the second stage adapts the vehicle speed for a short horizon when driving, while taking the safety spacing to the preceding vehicle into consideration, which acts as an indicator of actual traffic conditions and guarantees safe driving. Both optimisations are conducted under the distance domain for realising localisation in the optimal speed profile due to frequent changes in traffic conditions. An estimation of distribution algorithm is used to run the simulation so that the feasibility, robustness, and effectiveness of the proposed hierarchical control can be demonstrated.
机译:混合动力电动汽车(HEV)提供了一种有希望的替代传统发动机驱动的汽车的方式,具有更少的排放和更好的燃油经济性。这项研究提出了一种在行驶周期内对动力分配式混合动力汽车进行分级控制的功能,该技术具有行程前优化和航路速度自适应的特点。考虑了包括车辆动力总成边界,道路坡度和速度限制在内的约束。在第一阶段,将为出发前整个行程生成HEV操作条件,包括最佳车辆SOC,速度曲线和总行驶时间。根据出行前的结果,第二阶段在行驶时将车辆速度调整为适合短途行驶的水平,同时考虑到前一辆车辆的安全距离,这可作为实际交通状况的指标并确保安全行驶。两种优化都是在距离域下进行的,以实现由于交通状况的频繁变化而在最佳速度曲线中进行定位。使用分布算法的估计来运行仿真,以便可以证明所提出的分层控制的可行性,鲁棒性和有效性。

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