A Predictive Energy Management Strategy for Heavy Hybrid Electric Vehicles Based on Adaptive Network-Based Fuzzy Inference System-Optimized Time Horizon
Benxiang Lin,
Chao Wei (weichaobit@163.com),
Fuyong Feng and
Tao Liu
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Benxiang Lin: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Chao Wei: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Fuyong Feng: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Tao Liu: Inner Mongolia First Machinery Group Co., Ltd., Baotou 014030, China
Energies, 2024, vol. 17, issue 10, 1-23
Abstract:
Energy management strategies play a crucial role in enhancing the fuel efficiency of hybrid electric vehicles (HEVs) and mitigating greenhouse gas emissions. For the current commonly used time horizon optimization methods that only target the trend curve of the optimal battery state of charge (SOC) trajectory obtained offline, which are only suitable for buses with known future driving conditions, this paper proposed an energy management strategy based on an adaptive network-based fuzzy inference system (ANFIS) that optimizes the time horizon length and enhances adaptability to driving conditions by integrating historical vehicle velocity, accelerations, and battery SOC trajectory. First, the vehicle velocity prediction model based on the radial basis function (RBF) neural network is used to predict the future velocity sequence. After that, ANFIS was used to optimize and update the length of the forecast time horizon based on the historical vehicle velocity sequence. Finally, compared with the fixed time horizon energy management strategy, which is based on model predictive control (MPC), the average calculation time of the energy management strategy is reduced by about 23.5%, and the fuel consumption per 100 km is reduced by about 6.12%.
Keywords: energy management strategy (EMS); model predictive control (MPC); adaptive network-based fuzzy inference systems (ANFIS); hybrid electric vehicle (HEV) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:10:p:2288-:d:1391421
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