Reducing auxiliary energy consumption of heavy trucks by onboard prediction and real-time optimization

详细信息    查看全文

• 作者：Mohammad Khodabakhshian^a ; ^mokk@kth.se ; Lei Feng^a ; ^lfeng@kth.se ; Stefan Bö ; rjesson^b ; ^{stefan.a.borjesson@volvo.com} ; Olof Lindgä ; rde^b ; ^{olof.lindgarde@volvo.com} ; Jan Wikander^a ; ^janwi@kth.se
• 关键词：Parasitic load reduction ; Engine cooling system ; Model predictive control (MPC) ; Quadratic programming (QP)
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：188
• 期：Complete
• 页码：652-671
• 全文大小：2117 K
• 卷排序：188

文摘

Development of an MPC controller for an electrified engine-cooling system. Formulation of the optimal-control problem as a quadratic program. Comparison of the MPC controller to dynamic programming and a base-line controller. The MPC controller reduces fuel consumption by 0.36–0.69%. The MPC controller is implemented and successfully tested on a real truck.