Stochastic Optimal Control of Parallel Hybrid Electric Vehicles
| Autor: | Kun Xu, Yue Hu, Guoqing Xu, Feiyan Qin, Weimin Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Electric motor
0209 industrial biotechnology Engineering Control and Optimization Energy management 020209 energy parallel hybrid electric vehicle Energy Engineering and Power Technology Markov process 02 engineering and technology lcsh:Technology Automotive engineering energy management strategy symbols.namesake 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Torque Electrical and Electronic Engineering Engineering (miscellaneous) Stochastic control Renewable Energy Sustainability and the Environment business.industry lcsh:T Control engineering Stochastic programming Dynamic programming stochastic optimal control stochastic dynamic programming symbols Performance improvement business Energy (miscellaneous) |
| Zdroj: | Energies; Volume 10; Issue 2; Pages: 214 Energies, Vol 10, Iss 2, p 214 (2017) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en10020214 |
| Popis: | Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially known driving cycles. To meet this problem, this paper adopts a stochastic dynamic programming (SDP) method for the EMS of a specially designed vehicle, a pre-transmission single-shaft torque-coupling parallel HEV. In this parallel HEV, the auto clutch output is connected to the transmission input through an electric motor, which benefits an efficient motor assist operation. In this EMS, demanded torque of driver is modeled as a one-state Markov process to represent the uncertainty of future driving situations. The obtained EMS has been evaluated with ADVISOR2002 over two standard government drive cycles and a self-defined one, and compared with a dynamic programming (DP) one and a rule-based one. Simulation results have shown the real-time performance of the proposed approach, and potential vehicle performance improvement relative to the rule-based one. |
| Databáze: | OpenAIRE |
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