Zobrazeno 1 - 10
of 37
pro vyhledávání: '"real driving cycles"'
Publikováno v:
Vehicles, Vol 4, Iss 2, Pp 464-481 (2022)
Various energy management systems (driving strategies) have been developed to improve the efficiency of electrified vehicle drives. These include strategies from the field of offline optimization to determine the theoretical optimum for a given syste
Externí odkaz:
https://doaj.org/article/bfedefe75ac9496794a381b5b79c6879
Publikováno v:
Vehicles, Vol 4, Iss 1, Pp 182-198 (2022)
In order to further increase the efficiency of electrified vehicle drives, various predictive energy management strategies (driving strategies) have been developed. Therefore, a generic prediction approach is worked out in this paper, which enables a
Externí odkaz:
https://doaj.org/article/504bfeceaa7940799759f65029fd0744
Akademický článek
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Publikováno v:
World Electric Vehicle Journal, Vol 11, Iss 2, p 41 (2020)
One of the decisive reasons for the slow market penetration of electric vehicles is their short driving range, especially in cold temperatures. The goal of this paper was to increase the driving range in cold temperatures. Electric vehicles recover k
Externí odkaz:
https://doaj.org/article/ab29f0fc2aff45e8a010ef7a6a6c2e43
Publikováno v:
Vehicles; Volume 4; Issue 3; Pages: 808-824
In order to improve the efficiency of electrified vehicle drives, various predictive energy management strategies (driving strategies) have been developed. This article presents the extension of a generic prediction approach already proposed in a pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4306e69410dcbcb05fba957816586345
Publikováno v:
Vehicles; Volume 4; Issue 2; Pages: 464-481
Various energy management systems (driving strategies) have been developed to improve the efficiency of electrified vehicle drives. These include strategies from the field of offline optimization to determine the theoretical optimum for a given syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::9d4c6aa7a2314ef5831c7194e3ea7484
Publikováno v:
Vehicles; Volume 4; Issue 1; Pages: 182-198
In order to further increase the efficiency of electrified vehicle drives, various predictive energy management strategies (driving strategies) have been developed. Therefore, a generic prediction approach is worked out in this paper, which enables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::36a0568c5fe65c07b759753e9e5c46e4
Publikováno v:
Vehicles, 4 (1), 182–198
n order to further increase the efficiency of electrified vehicle drives, various predictive energy management strategies (driving strategies) have been developed. Therefore, a generic prediction approach is worked out in this paper, which enables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b61f1255fe290b9d6aba01ceae5dcc0c
Publikováno v:
Vehicles, 4 (3), 808–824
In order to improve the efficiency of electrified vehicle drives, various predictive energy management strategies (driving strategies) have been developed. This article presents the extension of a generic prediction approach already proposed in a pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c96904dc44c8047686a660724bac140d
Publikováno v:
Vehicles, 4 (2), 464–481
Various energy management systems (driving strategies) have been developed to improve the efficiency of electrified vehicle drives. These include strategies from the field of offline optimization to determine the theoretical optimum for a given syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23201b9a8c30f91ccfc9504b7beaab4b
https://publikationen.bibliothek.kit.edu/1000149915/149154183
https://publikationen.bibliothek.kit.edu/1000149915/149154183