农机化研究2024，Vol.46Issue(5)：216-221,6.
基于需求功率预测的电动拖拉机能量管理策略
Energy Management Strategy of Electric Tractor Based on Power Demand Prediction
摘要
Abstract
In order to improve the phenomenon that the output current of power battery is too high or too low and the con-tinuous operation time of electric tractor is short,a dual power supply electric tractor with lithium battery as the main en-ergy and super capacitor as the auxiliary energy is designed by using the characteristics that supercapacitors have high power density,the AMESim/Simulink joint simulation model is established.In this paper,model predictive control is used as the energy management method of dual power supply system.Based on long-term and short-term memory neural net-work,the power demand prediction model of electric tractor under ploughing condition is established,and the dynamic programming algorithm is used to solve the optimal output current of lithium battery.The simulation results show that com-pared with the fuzzy control strategy,the model-based predictive control strategy effectively reduces the high current dis-charge frequency of lithium battery,reduces the peak current by 40%,and effectively improves the service life of lithium battery;The SOC of the super capacitor is kept in a relatively high range,and the energy consumption per unit mileage of the electric tractor under the ploughing condition is reduced by 2.17%,which realizes the optimal distribution of dual power supply current and improves the power performance and economy of the electric tractor.关键词
纯电动拖拉机/双电源/模型预测控制/长短期记忆神经网络/能量管理Key words
pure electric tractor/dual power supply/model predictive control/long short-term memory neural network/energy management分类
农业科技引用本文复制引用
盛志鹏,夏长高,孙闫,韩江义..基于需求功率预测的电动拖拉机能量管理策略[J].农机化研究,2024,46(5):216-221,6.基金项目
苏北科技专项-先导性项目(SZ-YC202165) （SZ-YC202165）
江苏省重点研发计划项目(BE2018343-1) （BE2018343-1）
