Abstract
In contrast to conventional internal combustion engine (ICE) propelled vehicles, hybrid electric vehicles (HEVs) can achieve both higher fuel economy and lower pollutant emissions. The HEV features a hybrid propulsion system consisting of one ICE and one or more electric motors (EMs). The use of both ICE and EM increases the complexity of HEV power management, and so advanced power management policy is required for achieving higher performance and lower fuel consumption. This work aims at minimizing the HEV fuel consumption over any driving cycles, about which no complete information is available to the HEV controller in advance. Therefore, this work proposes to model the HEV power management problem as a Markov decision process (MDP) and derives the optimal power management policy using the policy iteration technique. Simulation results over real-world and testing driving cycles demonstrate that the proposed optimal power management policy improves HEV fuel economy by 23.9% on average compared to the rule-based policy.
Original language | English (US) |
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Title of host publication | IEEE Intelligent Vehicles Symposium, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 718-723 |
Number of pages | 6 |
Volume | 2015-August |
ISBN (Print) | 9781467372664 |
DOIs | |
State | Published - Aug 26 2015 |
Externally published | Yes |
Event | IEEE Intelligent Vehicles Symposium, IV 2015 - Seoul, Korea, Republic of Duration: Jun 28 2015 → Jul 1 2015 |
Other
Other | IEEE Intelligent Vehicles Symposium, IV 2015 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 6/28/15 → 7/1/15 |
ASJC Scopus subject areas
- Computer Science Applications
- Automotive Engineering
- Modeling and Simulation