2020
DOI: 10.1016/j.apenergy.2020.115081
|View full text |Cite
|
Sign up to set email alerts
|

Microsimulation of electric vehicle energy consumption and driving range

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 107 publications
(33 citation statements)
references
References 37 publications
0
22
0
Order By: Relevance
“…In [16], the authors conducted simulation studies for 5 selected temperature values: −20°C, −10°C, 0°C, 25° C, 45°C, at which the vehicle moved. 25°C was indicated as the nominal temperature.…”
Section: Analysis Of Factors Affecting Energy Intensitymentioning
confidence: 99%
“…In [16], the authors conducted simulation studies for 5 selected temperature values: −20°C, −10°C, 0°C, 25° C, 45°C, at which the vehicle moved. 25°C was indicated as the nominal temperature.…”
Section: Analysis Of Factors Affecting Energy Intensitymentioning
confidence: 99%
“…In another study, testing was carried out by 32 electric busses traveling four routes under different working conditions [29]. Many studies about energy consumption prediction used data from experimental tests to validate new approaches [30][31][32]. In order to determine energy consumption by an electric vehicle, some researchers [33,34] used the real driving emission (RDE) test procedure as a suitable method to compare results with conventional ICE vehicles.…”
Section: Introductionmentioning
confidence: 99%
“…Battery capacity losses were plotted with respect to number of EV usage days at varying conditions, such as temperature, C-rate, SOC, and depth of discharge, which showed large impact on battery degradation. In existing EV literature, EMS mainly considered energy consumption minimization and battery degradation was not often taken into consideration [7,9,[16][17][18]. In the literature considering battery degradation, many EMSs were rule-based methods [14,15], which leave room for advanced EMS.…”
Section: Introductionmentioning
confidence: 99%