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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Integrated Predictive Powertrain Control for a Multimode Plug-in Hybrid Electric Vehicle
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Integrated Predictive Powertrain Control for a Multimode Plug-in Hybrid Electric Vehicle

机译:用于多模插件混合动力电动车的集成预测动力总成控制

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Due to the complexity of a multimode plug-in hybrid electric vehicle (PHEV) powertrain, the energy management strategy of the said powertrain is a prime candidate for the application of optimal control methods. This article presents a predictive control strategy for optimal mode selection and powertrain control for a multimode PHEV capable of real-time control. This method utilizes predictions of future vehicle behavior in order to plan an optimal path of vehicle powertrain modes that minimizes energy consumption. This article also presents the integration of the developed optimal mode control strategy with an optimal powersplit strategy using nonlinear model predictive control to create a real-time integrated predictive powertrain controller (IPPC) responsible for all aspects of multimode PHEV powertrain supervisory control. The IPPC provides a real-time optimal solution to address the major challenge of a multimode HEV powertrain control: an integrated discrete and continuous optimization. Testing in simulation has shown the IPPC to be capable of reducing PHEV energy consumption by 4%-10% across real-world and standard drive cycles. In addition, the presented IPPC was deployed onto a rapid prototyping embedded controller where on-road, real-time testing has shown the IPPC to be capable of providing an energy reduction of 5%, thus confirming the energy savings observed in simulation.
机译:由于多模插入式混合动力电动车辆(PHEV)动力系的复杂性,所述动力总成的能量管理策略是用于应用最佳控制方法的主要候选者。本文为多模PHEV提供了一种可预测控制策略,可实现能够实时控制的多模PHEV。该方法利用未来车辆行为的预测,以规划最大限度地减少能量消耗的车辆动力总成模式的最佳路径。本文还介绍了开发的最佳模式控制策略与使用非线性模型预测控制的最佳PowerSplit策略集成,以创建负责多模PHEV动力总成监控控制的所有方面的实时集成预测动力总成控制器(IPPC)。 IPPC提供了一个实时最佳解决方案,以解决多模HEV动力总成控制的主要挑战:集成的离散和连续优化。在仿真中的测试已经显示了IPPC,能够在现实世界和标准驱动周期中将PHEV能量消耗降低4%-10%。此外,所呈现的IPPC部署到快速原型嵌入式控制器上,在那里,在路上,实时测试显示了IPPC能够提供5%的能量减少,从而确认在模拟中观察到的节能。

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