This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm
Technical Paper
2022-01-0739
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
Authors
Topic
Citation
Li, Y., Luo, Y., and Lu, X., "PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm," SAE Technical Paper 2022-01-0739, 2022, https://doi.org/10.4271/2022-01-0739.Also In
References
- Martins , F. , Felgueiras , C. , Smitkova , M. , and Caetano , N. Analysis of Fossil Fuel Energy Consumption and Environmental Impacts in European Countries Energies 12 6 Mar 2019 10.3390/en12060964
- Hamza , K. and Laberteaux , K. A Study on Optimal Powertrain Sizing of Plugin Hybrid Vehicles for Minimizing Criteria Emissions Associated with Cold Starts SAE Int. J. Alt. Power. 7 3 2018 183 193 10.4271/2018-01-0406
- Zhang , L.P. , Liu , W. , and Qi , B. Innovation Design and Optimization Management of a New Drive System for Plug-in Hybrid Electric Vehicles Energy 186 2019 10.1016/2019-07-153
- Du , A. , Chen , Y. , Zhang , D. , and Han , Y. Multi-Objective Energy Management Strategy Based on pso Optimization for Power-Split Hybrid Electric Vehicles Energies 14 9 2021 10.3390/en14092438
- Liu , J. and Chen , Y. Energy Management Strategy for PHEV Based on Predictive Control Qiche Gongcheng/Automotive Engineering 2019 275 282 and 297
- Zhao , K. , Bei , J. , Liu , Y. , and Liang , Z. Development of Global Optimization Algorithm for Series-Parallel Phev Energy Management Strategy Based on Radau Pseudospectral Knotting Method Energies 12 17 2019 10.3390/en12173268
- Ding , N. , Prasad , K. , and Lie , T.T. Design of a Hybrid Energy Management System Using Designed Rule-Based Control Strategy and Genetic Algorithm for the Series-Parallel Plug-in Hybrid Electric Vehicle International Journal of Energy Research 45 2 2021 1627 1644 10.1002/er.5808
- Zhou , S. , Wen , Z. , Zhi , X. , Jin , J. et al. Genetic Algorithm-Based Parameter Optimization of Energy Management Strategy and Its Analysis for Fuel Cell Hybrid Electric Vehicles SAE Technical Paper 2019-01-0358 2019 10.4271/2019-01-0358
- Tan , Y. , Shum , H.P.H. , Chao , F. , Vijayalcumar , V. et al. Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation Journal of Intelligent & Fuzzy Systems 36 5 2019 4201 14 10.3233/jifs-169978
- Chang , W.-J. , Che-Lun , S. , and Varadarajan , V. Fuzzy Controller Design for Nonlinear Singular Systems with External Noises Subject to Passivity Constraints Asian Journal of Control 23 3 2021 1195 1211 10.1002/asjc.2487
- Ma , N. , Lei , H. , Han , Z. , Zhou , D. et al. Airfoil Optimization to Improve Power Performance of a High-Solidity Vertical Axis Wind Turbine at a Moderate Tip Speed Ratio Energy 150 May 2018 236 252