A Novel Approach Using Model Predictive Control to Enhance the Range of Electric Vehicles

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• 作者：Julian Eckstein^a ; ^{julian.eckstein@hella.com" class="auth_mail" title="E-mail the corresponding author} ; Christopher Lü ; ke^b ; Frederik Brunstein^a ; ^b ; Patrick Friedel^a ; Ulrich Kö ; hler^a ; Ansgar Trä ; chtler^b
• 关键词：Model Predictive Control ; Automotive ; Electric Vehicle ; HVAC ; Optimization
• 刊名：Procedia Technology
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：26
• 期：Complete
• 页码：177-184
• 全文大小：294 K

文摘

The energy consumption of comfort components influences the range of electric vehicles significantly. Thus, intelligent power distribution is required. In this contribution a piece-wise linear model predictive controller is proposed which influences the heating ventilation and air-conditioning. Predictive route data is used to identify high power demands in the drivetrain. The controller ensures a defined comfort level while reducing the power loss of the traction battery. To enable real-time capability a sophisticated driver cabin model is linearized and used in a bilinear optimization. The control performance is evaluated in detail and conclusions are drawn for further development.