Real-Time Optimal Control for Eco-Driving and Powertrain Energy Management

被引:0
|
作者
Smit, N. A. [1 ]
Heuts, Y. J. J. [1 ]
Hulsebos, O. F. [2 ]
Donkers, M. C. F. [1 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
[2] VDL Enabling Transport Solut, Valkenswaard, Netherlands
来源
IFAC PAPERSONLINE | 2023年 / 56卷 / 02期
基金
欧盟地平线“2020”;
关键词
D O I
10.1016/j.ifacol.2023.10.1065
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a real-time receding-horizon control solution for the optimal control problem on combined eco-driving and powertrain energy management for a series-hybrid electric vehicle. By defining the optimal control problem in the spatial domain, discretizing the dynamics and applying several relaxations to the constraints, the problem is formulated as a second-order cone problem. The online real-time solution is achieved through the reformulation into a receding horizon control problem. To reduce computational complexity, several moveblocking strategies are applied. Combining powertrain control of the hybrid powertrain with eco-driving, leads to a reduction of 33.7%, compared to only applying energy management. Copyright (c) 2023 The Authors.
引用
收藏
页码:10472 / 10477
页数:6
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