Look-ahead Horizon based Energy Optimization for Connected Hybrid Electric Vehicles

Fuguo Xu, T. Shen
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引用次数: 1

Abstract

This paper developed a look-ahead horizon based optimal control scheme to jointly improve the efficiencies of powertrain and vehicle for hybrid electric vehicles (HEVs) with connectivity and automated driving. Both a speed planning strategy and energy management strategy is provided by the proposed approach. A constrained optimal control problem is formulated to minimize the fuel consumption and the electricity consumption under the satisfaction of inter-distance between ego vehicle and preceding vehicle. The optimal solution is derived through the Pontryagins maximum principle and verified in a traffic-in-the-loop powertrain simulation platform to show the effectiveness of the proposed approach.
基于前瞻地平线的互联混合动力汽车能量优化
针对具有互联和自动驾驶功能的混合动力汽车,提出了一种基于前瞻视界的最优控制方案,以共同提高动力系统和整车的效率。该方法提供了速度规划策略和能量管理策略。在满足本车与前车间距的条件下,建立了以燃油消耗和电力消耗最小为目标的约束最优控制问题。通过Pontryagins极大值原理推导出最优解,并在交通在环动力系统仿真平台上进行了验证,验证了所提方法的有效性。
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