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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Short-Term Optimal Energy Management of Power-Split Hybrid Electric Vehicles Under Velocity Tracking Control
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Short-Term Optimal Energy Management of Power-Split Hybrid Electric Vehicles Under Velocity Tracking Control

机译:速度跟踪控制下的动力组合式混合动力汽车的短期最优能量管理

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摘要

In this paper, a powertrain control strategy for the real-time energy optimization of a hybrid electric vehicle (HEV) with planetary gear system is presented. Based on the deduced actual powertrain dynamics, the aim is to develop a short-term energy economy optimization strategy to fit the frequent transient operations of the HEV. The effort is paid to design a controller that is not the high-level control for long-term optimization with constraint of the battery state of charge (SoC). Taking the real-time driver demand as constraint, a hierarchical control scheme that guarantees the asymptotic tracking for the references of the powertrain status in terms of vehicle speed and engine speed is proposed by using the framework of Lyapunov stability theory. Under this precondition, an optimal torque distribution solution that minimizes the instantaneous energy consumption defined as the total cost on both of the fuel and electricity is found. The performance of the control system is validated by closed-loop simulations with a full-scale prototype HEV simulator. The results demonstrate the potential of the proposed strategy in terms of energy economy and in tracking the references of the powertrain status.
机译:本文提出了一种动力总成控制策略,用于带有行星齿轮系统的混合动力电动汽车(HEV)的实时能量优化。基于推导的实际动力总成动力学,目的是开发一种短期能源经济优化策略,以适应混合动力汽车的频繁瞬态运行。努力设计一种不是用于长期优化的高级控制的控制器,并限制了电池的充电状态(SoC)。以实时驾驶员需求为约束条件,利用李雅普诺夫稳定性理论的框架,提出了一种分层控制方案,可以保证对渐进跟踪的动力总成状态在车速和发动机转速方面的参考。在此前提下,找到了一种最佳的扭矩分配解决方案,该解决方案可最大程度地减少瞬时能耗,该能耗被定义为燃料和电力的总成本。控制系统的性能已通过使用全尺寸原型HEV仿真器的闭环仿真进行了验证。结果证明了所提议策略在能源经济性和跟踪动力总成状态参考方面的潜力。

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