Abstract
This paper presents a model predictive control approach for the energy management problem of a power-split hybrid electric vehicle system with slope information. This paper adds three new contributions to this field. First, considering the HEV physical constraints like the speed and torque limits of the engine and motor/generators, and the battery state of charge beforehand makes the optimization and the fuel improvements trustworthy. Second, the performance index design process is nature and causal. Third, using the HEV property, the desired battery state of charge is designed accord- ing to the road slopes for better recuperation of free braking energy. Effectiveness of the proposed algorithm is validated by the significant fuel economy improvements using the proposed approach compared with the conventional approach.
| Original language | English |
|---|---|
| Title of host publication | SICE 2013: International Conference on Instrumentation, Control, Information Technology and System Integration - SICE Annual Conference 2013, Conference Proceedings |
| Pages | 2311-2316 |
| Number of pages | 6 |
| Publication status | Published - 2013 |
| Event | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan Duration: Sep 14 2013 → Sep 17 2013 |
Other
| Other | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 |
|---|---|
| Country | Japan |
| City | Nagoya |
| Period | 9/14/13 → 9/17/13 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Science Applications
Cite this
Model predictive control of a power-split hybrid electric vehicle system with slope information. / Yu, Kaijiang; Mukai, Masakazu; Kawabe, Taketoshi.
SICE 2013: International Conference on Instrumentation, Control, Information Technology and System Integration - SICE Annual Conference 2013, Conference Proceedings. 2013. p. 2311-2316.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Model predictive control of a power-split hybrid electric vehicle system with slope information
AU - Yu, Kaijiang
AU - Mukai, Masakazu
AU - Kawabe, Taketoshi
PY - 2013
Y1 - 2013
N2 - This paper presents a model predictive control approach for the energy management problem of a power-split hybrid electric vehicle system with slope information. This paper adds three new contributions to this field. First, considering the HEV physical constraints like the speed and torque limits of the engine and motor/generators, and the battery state of charge beforehand makes the optimization and the fuel improvements trustworthy. Second, the performance index design process is nature and causal. Third, using the HEV property, the desired battery state of charge is designed accord- ing to the road slopes for better recuperation of free braking energy. Effectiveness of the proposed algorithm is validated by the significant fuel economy improvements using the proposed approach compared with the conventional approach.
AB - This paper presents a model predictive control approach for the energy management problem of a power-split hybrid electric vehicle system with slope information. This paper adds three new contributions to this field. First, considering the HEV physical constraints like the speed and torque limits of the engine and motor/generators, and the battery state of charge beforehand makes the optimization and the fuel improvements trustworthy. Second, the performance index design process is nature and causal. Third, using the HEV property, the desired battery state of charge is designed accord- ing to the road slopes for better recuperation of free braking energy. Effectiveness of the proposed algorithm is validated by the significant fuel economy improvements using the proposed approach compared with the conventional approach.
UR - http://www.scopus.com/inward/record.url?scp=84888586860&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84888586860&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84888586860
SP - 2311
EP - 2316
BT - SICE 2013: International Conference on Instrumentation, Control, Information Technology and System Integration - SICE Annual Conference 2013, Conference Proceedings
ER -