Energy-Optimal Speed Trajectories Between Stops
This paper presents energy-optimal speed trajectories between stops for electric vehicles. It is shown that if basic infrastructure and traffic flow information is available, energy savings of up to 60% are possible, with 20-40% being typical values. The optimization approach uses a cost function th...
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| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2020-10, Vol.21 (10), p.4328-4337 |
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| creator | Mello, Eduardo F. Bauer, Peter H. |
| description | This paper presents energy-optimal speed trajectories between stops for electric vehicles. It is shown that if basic infrastructure and traffic flow information is available, energy savings of up to 60% are possible, with 20-40% being typical values. The optimization approach uses a cost function that contains only transportation energy and uses all other conditions (such as maximum acceleration, average speed, etc.) as constraints. Real-world considerations such as following distance to the next vehicle and jerk constraints are also analyzed. The overall impact of this approach includes the reduction of energy cost, grid power demand, power plant emissions, global warming, as well as an increase in the range of electric vehicles. |
| doi_str_mv | 10.1109/TITS.2019.2939776 |
| format | Article |
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It is shown that if basic infrastructure and traffic flow information is available, energy savings of up to 60% are possible, with 20-40% being typical values. The optimization approach uses a cost function that contains only transportation energy and uses all other conditions (such as maximum acceleration, average speed, etc.) as constraints. Real-world considerations such as following distance to the next vehicle and jerk constraints are also analyzed. 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The overall impact of this approach includes the reduction of energy cost, grid power demand, power plant emissions, global warming, as well as an increase in the range of electric vehicles.</description><subject>Acceleration</subject><subject>Batteries</subject><subject>Cost control</subject><subject>Cost function</subject><subject>electric vehicle</subject><subject>Electric vehicles</subject><subject>Energy costs</subject><subject>Energy efficiency</subject><subject>Global warming</subject><subject>Impact analysis</subject><subject>optimal</subject><subject>Optimization</subject><subject>Resistance</subject><subject>speed profile</subject><subject>Traffic flow</subject><subject>Traffic information</subject><subject>Trajectories</subject><subject>Trajectory</subject><subject>Transportation energy</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKs_QLwseN42k-89aqlaKPTQ9RzSZFZaandNtkj_vVlaPM0wPO8M8xDyCHQCQKtpvajXE0ahmrCKV1qrKzICKU1JKajroWeirKikt-QupV2eCgkwItP5AePXqVx1_fbb7Yt1hxiKOrod-r6NW0zFK_a_iIdi3bdduic3jdsnfLjUMfl8m9ezj3K5el_MXpalz_f7EhhXyktwzIEwEJgL3GhwoL1iQRlDeXDB6SC9a3yl1UaZwDc8Iw3KpuFj8nze28X254ipt7v2GA_5pGVCGCEZkypTcKZ8bFOK2Ngu5jfiyQK1gxc7eLGDF3vxkjNP58wWEf95Y4TQRvE_5YRdtw</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Mello, Eduardo F.</creator><creator>Bauer, Peter H.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on intelligent transportation systems, 2020-10, Vol.21 (10), p.4328-4337 |
| issn | 1524-9050 1558-0016 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Acceleration Batteries Cost control Cost function electric vehicle Electric vehicles Energy costs Energy efficiency Global warming Impact analysis optimal Optimization Resistance speed profile Traffic flow Traffic information Trajectories Trajectory Transportation energy |
| title | Energy-Optimal Speed Trajectories Between Stops |
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