Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann, Tobias Zeller, Patrick Cujic, Thomas Seel
{"title":"Predictive Energy Management for Recuperation Axles in Refrigerated Trailers","authors":"Dennis Bank, Simon F. G. Ehlers, Karl-Philipp Kortmann, Tobias Zeller, Patrick Cujic, Thomas Seel","doi":"arxiv-2409.10414","DOIUrl":null,"url":null,"abstract":"Refrigerated truck trailers are currently mainly operated with\nenvironmentally harmful diesel units; an alternative is to operate the\nrefrigeration unit with electrical energy. However, this requires a battery,\nthe size of which can be reduced by using a recuperation axle, which recovers\nenergy during braking. Current systems work purely reactively and often in\nso-called towing mode, in which a generator torque is provided without a\nbraking request from the driver in order to secure the energy supply. However,\nthis drag leads to additional consumption in the truck. This work quantifies\nthe potential of predictive energy management that uses route and environmental\ndata to minimize CO2 emissions. This was done using simulation data obtained\nwith the help of VECTO. It was shown that there is still considerable potential\nfor savings, so this paper provides an important basis for the later\ndevelopment of predictive energy management and, thus, for the electrification\nof refrigerated truck transports.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":"54 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Refrigerated truck trailers are currently mainly operated with
environmentally harmful diesel units; an alternative is to operate the
refrigeration unit with electrical energy. However, this requires a battery,
the size of which can be reduced by using a recuperation axle, which recovers
energy during braking. Current systems work purely reactively and often in
so-called towing mode, in which a generator torque is provided without a
braking request from the driver in order to secure the energy supply. However,
this drag leads to additional consumption in the truck. This work quantifies
the potential of predictive energy management that uses route and environmental
data to minimize CO2 emissions. This was done using simulation data obtained
with the help of VECTO. It was shown that there is still considerable potential
for savings, so this paper provides an important basis for the later
development of predictive energy management and, thus, for the electrification
of refrigerated truck transports.