Fast Optimal Energy Management With Engine On/Off Decisions for Plug-in Hybrid Electric Vehicles
Fast Optimal Energy Management With Engine On/Off Decisions for Plug-in Hybrid Electric Vehicles
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DOI：
10.1109/lcsys.2019.2920164
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发表时间：
2019-10-01
影响因子：
3
通讯作者：
Cannon, Mark
中科院分区：
文献类型：
--
作者：
East, Sebastian;Cannon, Mark
在这封信中，我们提出了一种新的交替方向乘子法(ADMM)算法来解决混合动力汽车的能量管理问题，该问题同时考虑了功率分配和发动机开/关决策。利用问题的凸松弛解来初始化优化，优化必然是非凸的，虽然只能保证局部收敛，但证明了对于给定的发动机切换序列，算法将以最优功率分配终止。使用真实驾驶员行为数据，将该算法与充电耗尽/充电维持(CDCS)策略和动态规划(DP)策略进行了仿真比较，结果表明，该算法在计算时间减少3000倍的情况下，比使用DP节省了90%的燃料。
In this letter we demonstrate a novel alternating direction method of multipliers (ADMM) algorithm for the solution of the hybrid vehicle energy management problem considering both power split and engine on/off decisions. The solution of a convex relaxation of the problem is used to initialize the optimization, which is necessarily nonconvex, and whilst only local convergence can be guaranteed, it is demonstrated that the algorithm will terminate with the optimal power split for the given engine switching sequence. The algorithm is compared in simulation against a charge-depleting/charge-sustaining (CDCS) strategy and dynamic programming (DP) using real world driver behaviour data, and it is demonstrated that the algorithm achieves 90% of the fuel savings obtained using DP with a 3000-fold reduction in computational time.