Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

2019 ◽  
Vol 22 (6) ◽  
pp. 2476-2486
Author(s):  
Zhumu Fu ◽  
Zhenhui Li ◽  
Fazhan Tao
Keyword(s):  
Energy Management ◽  
Model Prediction ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Model Prediction Control ◽  
Electrical Vehicle ◽  
Prediction Control

scholarly journals Energy Management of Fuel Cell Vehicles Based on Model Prediction Control Using Radial Basis Functions

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Weiwei Xin ◽  
Weiguang Zheng ◽  
Jirong Qin ◽  
Shangjun Wei ◽  
Chunyu Ji
Keyword(s):  
Fuel Cell ◽  
Real Time ◽  
Energy Management ◽  
Model Prediction ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Time Performance ◽  
Prediction Horizon ◽  
Model Prediction Control ◽  
Prediction Control

Energy management strategies can improve fuel cell hybrid electric vehicles’ dynamic and fuel economy, and the strategies based on model prediction control show great advantages in optimizing the power split effect and in real time. In this paper, the influence of prediction horizon on prediction error, fuel consumption, and real time was studied in detail. The framework of energy management strategy was proposed in terms of the model prediction control theory. The radial basis function neural network was presented as the predictor to obtain the short-term velocity in the future. A dynamic programming algorithm was applied to obtain optimized control laws in the prediction horizon. Considering the onboard controller’s real-time performance, we established a simple fuel cell vehicle mathematical model for simulation. Different prediction horizons were adopted on UDDS and HWFET to test the influence on prediction and energy management strategy. Simulation results showed the strategy performed well in fuel economy and real-time performance, and the prediction horizon of around 20 s was appropriate for this strategy.

Implementation of energy management strategy of hybrid power source for electrical vehicle

2019 ◽  
Vol 195 ◽  
pp. 830-843 ◽  
Author(s):  
Hajer Marzougui ◽  
Ameni Kadri ◽  
Jean-Philippe Martin ◽  
Mansour Amari ◽  
Serge Pierfederici ◽  
...  
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Power Source ◽  
Energy Management Strategy ◽  
Hybrid Power ◽  
Electrical Vehicle ◽  
Hybrid Power Source
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