Real-Time Optimal Energy Management of Electrified Engines

被引:3
|
作者
Zhao, Dezong [1 ]
Winward, Edward [2 ]
Yang, Zhijia [1 ]
Stobart, Richard [1 ]
Steffen, Thomas [1 ]
机构
[1] Univ Loughborough, Dept Aeronaut & Automot Engn, Loughborough, Leics, England
[2] Caterpillar Inc, Energy & Transportat Res, Peterborough, Cambs, England
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 11期
基金
“创新英国”项目;
关键词
electrified engines; fuel economy optimization; real-time energy management; decoupling control; dynamics analysis;
D O I
10.1016/j.ifacol.2016.08.038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The electrification of engine components offers significant opportunities for fuel economy improvements, including the use of an electrified turbocharger for engine downsizing and exhaust gas energy recovery. By installilig an electrical device on the turbocharger, the excess energy in the all system can be captured, stored, and re used. This new configuration requires a Hew control structure to manage the air path dynamics. The selection of optimal setpoints for each operating point is crucial for achieving the full fuel economy benefits. In this paper, a control-oriented model for an electrified turbocharged diesel engine is analysed. Based on this model, a structured approach for selecting control variables is proposed. A model-based multi-input multi-output decoupling controller is designed as the low level controller to track the desired values and to manage internal coupling. AR equivalent consumption minimization strategy is employed as the supervisory level controller for real-time energy management. The supervisory level controller and low level controller work together in a cascade which addresses both fuel economy optimization and battery state-of-charge maintenance. The proposed control strategy has been successfully validated on a detailed physical sin-filiation model. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:251 / 258
页数:8
相关论文
共 50 条
  • [1] Real-Time Optimal Energy Management of Electrified Powertrains with Reinforcement Learning
    Biswas, Atriya
    Anselma, Pier G.
    Emadi, Ali
    [J]. 2019 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2019,
  • [2] Real-Time Energy Management Strategy for Electrified Railroad Stations Based on Rules + Optimization
    Li, Junhao
    Tu, Chunming
    Wang, Xin
    Guo, Qi
    Xiao, Fan
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2024, 39 (11): : 3339 - 3352
  • [3] Optimal real-time DB management
    Meilander, Will C.
    [J]. PROCEEDINGS IEEE SOUTHEASTCON 2008, VOLS 1 AND 2, 2008, : 286 - 292
  • [4] Optimal Design and Real-Time Control for Energy Management in Electric Vehicles
    Wang, Lei
    Collins, Emmanuel G., Jr.
    Li, Hui
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (04) : 1419 - 1429
  • [5] Real-Time Multiobjective Energy Management for Electrified Powertrains: A Convex Optimization-Driven Predictive Approach
    Li, Yapeng
    Wang, Feng
    Tang, Xiaolin
    Lin, Xianke
    Liu, Changpeng
    Hu, Xiaosong
    [J]. IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (03) : 3139 - 3150
  • [6] Comparison of Three Real-Time Implementable Energy Management Strategies for Multi-mode Electrified Powertrain
    Biswas, Atriya
    Anselma, Pier Giuseppe
    Rathore, Aashit
    Emadi, Ali
    [J]. 2020 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE & EXPO (ITEC), 2020, : 514 - 519
  • [7] Real-Time Energy Management in Microgrids
    Shi, Wenbo
    Li, Na
    Chu, Chi-Cheng
    Gadh, Rajit
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (01) : 228 - 238
  • [8] Energy Optimal Real-Time Navigation System
    Jurik, Tomas
    Cela, Arben
    Hamouche, Redha
    Natowicz, Rene
    Reama, Abdellatif
    Niculescu, Silviu-Iulian
    Julien, Jerome
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2014, 6 (03) : 66 - 79
  • [9] Real-Time Optimal Control for Eco-Driving and Powertrain Energy Management
    Smit, N. A.
    Heuts, Y. J. J.
    Hulsebos, O. F.
    Donkers, M. C. F.
    [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 10472 - 10477
  • [10] Real-time optimal energy management for a fuel cell/battery hybrid system
    Chen, Hao
    Chen, Jian
    Liu, Zhiyang
    Lu, Huaxin
    [J]. ASIAN JOURNAL OF CONTROL, 2019, 21 (04) : 1847 - 1856