An ADMM Algorithm for MPC-based Energy Management in Hybrid Electric Vehicles with Nonlinear Losses

An ADMM Algorithm for MPC-based Energy Management in Hybrid Electric Vehicles with Nonlinear Losses
复制标题

DOI：
10.1109/cdc.2018.8619731
复制
发表时间：
2018-12
期刊：
2018 IEEE Conference on Decision and Control (CDC)
影响因子：
--
通讯作者：
Sebastian East;M. Cannon
Sebastian East;M. Cannon
中科院分区：
其他
文献类型：
--
作者：
Sebastian East;M. Cannon

文献摘要

被引文献

相似文献

Please try later.
In this paper we present a convex formulation of the Model Predictive Control (MPC) optimisation for energy management in hybrid electric vehicles, and an Alternating Direction Method of Multipliers (ADMM) algorithm for its solution. We develop a new proof of convexity for the problem that allows the nonlinear dynamics to be modelled as a linear system, then demonstrate the performance of ADMM in comparison with Dynamic Programming (DP) through simulation. The results demonstrate up to two orders of magnitude improvement in solution time for comparable accuracy against DP.