Investigating adaptive-ECMS with velocity forecast ability for hybrid electric vehicles

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• 作者：Chao Sun ; Fengchun Sun ; Hongwen He ; ^{hwhebit@bit.edu.cn}
• 关键词：Adaptive ECMS ; Velocity forecast ; Neural network ; Fuel economy ; Hybrid electric vehicles
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P2
• 页码：1644-1653
• 全文大小：1288 K
• 卷排序：185

文摘

The convergence principle of equivalence factor searching for the adaptive-ECMS is modified and its oscillation is solved. A radial basis function neural network based velocity predictor is constructed, its accuracy and sensitivity is studied. The developed velocity predictor is incorporated with the adaptive-ECMS to improve the fuel economy by comparison study. The fuel consumption is decreased by over 3% compared with traditional adaptive-ECMS when no velocity forecast is employed.