Title | ||
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Truncated Battery Power Following Strategy For Energy Management Control Of Series Hybrid Electric Vehicles |
Abstract | ||
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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 The results also indicate its benchmark potential for high-fidelity HEV models, where DP is no longer applicable. |
Year | DOI | Venue |
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2019 | 10.23919/ECC.2019.8795784 | 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC) |
Field | DocType | Citations |
Powertrain,Dynamic programming,Energy management,Mathematical optimization,Heuristic,Computer science,Energy source,Fuel efficiency,Battery (electricity),Optimization problem | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Boli Chen | 1 | 31 | 6.94 |
Simos A. Evangelou | 2 | 7 | 10.22 |