A Hierarchical Energy Management Strategy Based on Model Predictive Control for Plug-In Hybrid Electric Vehicles
| Autor: | Xin Tang, Yadan Liu, Zicheng Fu, Chong Guo, Nan Xu, Lei Xu, Yan Ding, Liang Chu, Yuanjian Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Markov chain Energy management Estimation theory Computer science 020209 energy General Engineering 020302 automobile design & engineering 02 engineering and technology Power (physics) Dynamic programming energy management strategy velocity profile prediction Model predictive control 0203 mechanical engineering Control theory Model predictive control (MPC) Linear regression 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering terminal battery SOC constraint Particle filter lcsh:TK1-9971 plug-in hybrid electric vehicle (PHEV) |
| Zdroj: | IEEE Access, Vol 7, Pp 81612-81629 (2019) |
| ISSN: | 2169-3536 |
| Popis: | This paper presents a prescient energy management strategy based on the model predictive control (MPC) for the parallel plug-in hybrid electric vehicles (PHEVs). In this hierarchical strategy, dynamic programming (DP), with its improved calculation speed, is chosen as the solution algorithm to calculate the optimal power distribution combinations in the predicted receding horizon and under the given terminal battery state-of-charge (SOC) terminal constraint. A synthesized velocity profile prediction (SVPP) method is adopted. The macroscopically and microcosmically predicted velocities obtained by the participatory sensing data (PSD)-based method and the Markov chain (MC), respectively, are synthesized by the linear regression method, obtaining the final velocity profile. In the linear regression step, a particle filter (PF) is implemented for the parameter estimation. According to the characteristics of the driving conditions and components, the terminal battery SOC in each control horizon is constrained by a novel method. Finally, we demonstrate the capability of the proposed scheme in terms of fuel economy improvement by comparing the value of this metric with those of other strategies through simulation. |
| Databáze: | OpenAIRE |
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