Concurrent design of energy management and vehicle traction supervisory control algorithms for parallel hybrid electric vehicles
Date
2016Source Title
IEEE Transactions on Vehicular Technology
Print ISSN
0018-9545
Publisher
Institute of Electrical and Electronics Engineers Inc.
Volume
65
Issue
2
Pages
555 - 565
Language
English
Type
ArticleItem Usage Stats
224
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277
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Abstract
In this paper, concurrent design of energy management (EM) and traction control algorithms for a vehicle equipped with a parallel hybrid powertrain is studied. This paper focuses on designing the two control algorithms together as one control design problem, which are traditionally considered separately. First, optimal control actions and operating points are obtained by applying dynamic programming (DP). Then, this information is used for developing a rule-based supervisory controller. Our objective is to minimize the fuel consumption and the wheel slip simultaneously. Two control problems are also solved separately and compared with the concurrent solution. Results show that promising benefits can be obtained by using the concurrent design approach rather than considering two control problems separately. Under the same conditions, the vehicle with the concurrent supervisory controller is 16% more efficient in fuel consumption and experiences 12% less wheel slip, assuming slippery road friction conditions. © 1967-2012 IEEE.
Keywords
Concurrent controllersHybrid electric vehicles (HEVs)
Algorithms
Concurrency control
Controllers
Design
Dynamic programming
Electric machine control
Electric traction
Energy management
Traction control
Vehicles
Wheels
Concurrent design
Control problems
Hybrid electric vehicles (HEVs)
Operating points
Optimal controls
Parallel hybrid electric vehicles
Supervisory control
Supervisory controllers
Hybrid vehicles
Permalink
http://hdl.handle.net/11693/36491Published Version (Please cite this version)
http://dx.doi.org/10.1109/TVT.2015.2405347Collections
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