Improving fuel economy of heavy-duty vehicles in daily driving
Improving fuel economy of heavy-duty vehicles in daily driving
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DOI:
10.23919/acc45564.2020.9147970
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发表时间:
2020-07
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影响因子:
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通讯作者:
C. He;Anil Alan;T. Molnár;S. Avedisov;A. Bell;Russell Zukouski;Matthew Hunkler;Jim Yan;G. Orosz
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文献类型:
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作者:
C. He;Anil Alan;T. Molnár;S. Avedisov;A. Bell;Russell Zukouski;Matthew Hunkler;Jim Yan;G. Orosz
In this work, we integrate two once separate concepts for longitudinal control of heavy duty vehicles: responding to elevation changes to improve fuel economy using preview and reacting to the motion of preceding vehicles using feedback. The two concepts are unified to provide a safe yet fuel efficient connected and automated technology for heavy duty vehicles. First, we establish an integrated control framework of the two concepts based on barrier function theory and then we discuss the detailed control design of each concept. Finally, we demonstrate the benefits of the proposed design against a naive switching controller by experimentally evaluating the performance of a connected automated truck.