Chen, Boli;
Evangelou, Simos A;
(2019)
Truncated Battery Power Following Strategy for Energy Management Control of Series Hybrid Electric Vehicles.
In:
Proceedings of the 18th European Control Conference (ECC).
(pp. pp. 738-743).
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
This paper deals with the optimal energy management control of series hybrid electric vehicles (HEVs) by which their fuel consumption is minimized. Based on the modeling of the essential dynamics of a series HEV and its powertrain, closed-form solutions of the optimal energy source power split are formulated. These solutions yield a set of simple heuristic control rules, by which a novel rule-based control strategy, the truncated battery power following strategy (TBFS), is developed for optimally allocating the hybrid energy sources to satisfy the demanded propulsion power. Numerical examples show that the TBFS is able to reproduce the globally optimal solutions found by dynamic programming (DP), but with significantly reduced computation effort, as the TBFS only requires one-dimensional parameter tuning, rather than solving an optimization problem. The results also indicate its benchmark potential for high-fidelity HEV models, where DP is no longer applicable.
Type: | Proceedings paper |
---|---|
Title: | Truncated Battery Power Following Strategy for Energy Management Control of Series Hybrid Electric Vehicles |
Event: | 18th European Control Conference (ECC) 2019 |
Location: | Naples, Italy |
Dates: | 25th-28th June 2019 |
ISBN-13: | 978-3-907144-00-8 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.23919/ecc.2019.8795784 |
Publisher version: | http://dx.doi.org/10.23919/ecc.2019.8795784 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10194958 |




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