This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
The Algorithmic Research of Multi-operating Mode Energy Management System
Technical Paper
2013-01-0988
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The traditional energy management algorithm is mainly based on a single driving cycle, it is obvious that many factors might be often neglected by designer, such as different driving cycles would suit for different control strategies. But they tend to make decisions on the balance of torque distribution and battery power that based on a single driving cycle. Therefore, it is very difficult to achieve the optimal control in each case. In this paper we introduce a new design concept of Multi-operating mode energy management, a mathematical model of the energy management applied to a hybrid vehicle system is presented. Results of simulations using the model with the Multi-operating mode energy management were compared with results of simulations using a model with the single mode energy management, allowing the energy efficiency evaluation of the proposed energy management system.
Authors
Topic
Citation
Jun, W., Qingnian, W., Zeng, X., zhou, n. et al., "The Algorithmic Research of Multi-operating Mode Energy Management System," SAE Technical Paper 2013-01-0988, 2013, https://doi.org/10.4271/2013-01-0988.Also In
References
- Lin , C. , Filipi , Z. , Wang , Y. , Louca , L. et al. Integrated, Feed-Forward Hybrid Electric Vehicle Simulation in SIMULINK and its Use for Power Management Studies SAE Technical Paper 2001-01-1334 2001 10.4271/2001-01-1334
- Chan K.T. , Wong Y.S. Overview of Power Management in Hybrid Electric Vehicles Energy Conversion and management 2002 43 1953 1968
- Liu Minghui Study on Vehicle Control Strategy and Assembly Parameter Matching for Hybrid Electric Bus [D]Changchun 2005
- Sebastien Delprat et al Control Strategy Optimization for an Hybrid Parallel Powertrain Proceedings of the American Control Conference Arlington, VA June 25 27 2001
- Shyu Kuo-Kai , Shieh Hsin-Jang , and Fu Sheng-Shang Model reference adaptive speed control for induction motor drive using neural networks IEEE Transactions on lndustrial Electronics 45 1 180 182 1998
- Rahman , Z. , Butler , K. , and Ehsani , M. A Comparison Study Between Two Parallel Hybrid Control Concepts SAE Technical Paper 2000-01-0994 2000 10.4271/2000-01-0994