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Gear shifting and engine on/off optimal control in hybrid electric vehicles using partial outer convexification

机译:使用部分外凸化的混合动力电动车辆换档和发动机开/关最佳控制

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The hybrid electric powertrain provides various degrees of freedom to optimize fuel efficiency. Along with the optimal torque split between propulsion machines, the optimal gear choice and the decision to turn the engine on/off inherently influence efficiency as well. The latter aspect introduces additional control variables into an optimization problem which is then usually formulated as a mixed-integer optimal control problem. The computational complexity resulting from integer optimization makes the centralized optimization schemes intractable for real-time applications. In this article, we formulate and treat a distributed optimization problem in order to attain the optimal torque split along with the optimal gear choice and the decision for engine on/off. Therefore a partial outer convexification method is applied to reformulate a mixed integer energy management problem into a two-layer predictive control problem which is efficiently solved.
机译:混合动力动力系提供各种自由度来优化燃油效率。随着推进机之间的最佳扭矩分配,最佳档位选择和决定将发动机打开/关闭固有地影响效率。后一种方面将额外的控制变量介绍到优化问题中,然后通常将其配制成混合整数最佳控制问题。由整数优化产生的计算复杂性使得具有用于实时应用程序的集中式优化方案。在本文中,我们制定和处理分布式优化问题,以便获得最佳扭矩和发动机开/关的最佳档位和决定。因此,应用部分外凸化方法以将混合整数能量管理问题重新设计成有效解决的双层预测控制问题。

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