Cited by 37Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric and Hybrid Vehicle Technologies

Driving pattern analysis of nordic region based on national travel surveys for electric vehicle integration

Open access
LIU, Zhaoxi, WU, Qiuwei, CHRISTENSEN, Linda, RAUTIAINEN, Antti, XUE, Yusheng·2015·Journal of Modern Power Systems and Clean Energy

Abstract

Electic vehicles (EVs) show great potential to cope with the intermittency of renewable energy sources (RES) and provide demand side flexibility required by the smart grid. Furthermore, EVs will increase the electricity consumption. Large scale integration of EVs will probably have substantial impacts on power systems. This paper presents a methodology to transform driving behavior of person into one of the cars in order to analyze the driving pattern of EVs based on the National Travel Surveys. In the proposed methodology, a statistical process is used to obtain the driving behavior of cars by grouping the survey respondents according to the driving license number and car number, and mapping the households with similar characteristics. The proposed methodology was used to carry out the driving pattern analysis in the Nordic region. The detailed driving requirements and charging/discharging availability of vehicles along the day were obtained. Two types of EV availabilities were studied in this paper considering different charging/discharging conditions of EVs for the power system integration, i.e. EV availability all day and EV availability at home. The results show that the daily driving requirements of the Nordic region are not very intensive. The driving patterns of vehicles in the Nordic region vary on weekdays and weekends. The two types of EV availabilities are quite different from each other.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s40565-015-0127-x

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Range is technically sufficient for well over 90% of trips taken by Nordic drivers.

    “range is technically sufficient for well over 90% of trips taken by Nordic drivers (Liu et al., 2015;Pearre et al., 2011)”

    From Understanding the socio-technical nexus of Nordic electric vehicle (EV) barriers: A qualitative discussion of range, price, charging and knowledge (2020) · cites this paper as Liu et al., 2015

    Section 3.1 says the four countries’ average daily driving distances can be supported by current EV technologies, and Tables 2–3 show that more than 90% of vehicle-days fall below some distance thresholds. But those tables measure daily distance per vehicle, not the percentage of individual trips within an EV’s range; the paper does not establish the quoted percentage for trips. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • For many experts, range was not actually a technical barrier but rather a knowledge and experience barrier.

    “First, for many experts, range was not actually a technical barrier, but rather was a knowledge and experience barrier, given that EVs could suffice the vast majority of the average trips an average resident in the Nordic countries would take (Liu et al., 2015).”

    From Understanding the socio-technical nexus of Nordic electric vehicle (EV) barriers: A qualitative discussion of range, price, charging and knowledge (2020) · cites this paper as Liu et al., 2015

    Section 3.1 (page not provided) reports that average daily driving is under 50 km in all four Nordic countries and can be supported by current EV technology. It also finds that most vehicles travel short daily distances. The paper does not attribute range concerns to a lack of knowledge or experience, or report experts' views on that barrier. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • EVs could suffice the vast majority of the average trips an average resident in the Nordic countries would take.

    “First, for many experts, range was not actually a technical barrier, but rather was a knowledge and experience barrier, given that EVs could suffice the vast majority of the average trips an average resident in the Nordic countries would take (Liu et al., 2015).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 34

  1. Salihi JT (1973) Energy requirements for electric cars and their impact on electric power generation and distribution systems. IEEE Trans Ind Appl 9(5):516-532
  2. Heydt GT (1983) The impact of electric vehicle deployment on load management strategies. IEEE Trans Power Appar Syst 102(5):1253-1259
  3. Peas Lopes JA, Soares FJ, Almeida PMR (2009) Identifying management procedures to deal with connection of electric ve- hicles in the grid. In: Proceedings of the 2009 IEEE Bucharest PowerTech, Bucharest, Romania, 28 Jun-2 Jul 2009, 8 pp
  4. Ma ZJ, Callaway D, Hiskens I (2010) Decentralized charging control for large populations of plug-in electric vehicles: ap- plication of the Nash certainty equivalence principle. In: Pro- ceedings of the 2010 IEEE international conference on control applications (CCA'10), Yokohama, Japan, 8-10 Sept 2010, pp 191-195
  5. Shimizu K, Masuta T, Ota Y et al (2010) Load frequency control in power system using vehicle-to-grid system consid- ering the customer convenience of electric vehicles. In: Pro- ceedings of the 2010 international conference on power system technology (POWERCON'10), Hangzhou, China, 24-28 Oct 2010, 8 pp
  6. Luo ZW, Song YH, Hu ZC et al (2011) Forecasting charging load of plug-in electric vehicles in China. In: Proceedings of the 2011 IEEE Power and Energy Society general meeting, San Diego, CA, USA, 24-29 Jul 2011, 8 pp
  7. Qian KJ, Zhou CK, Allan M et al (2011) Modeling of load demand due to EV battery charging in distribution systems. IEEE Trans Power Syst 26(2):802-810
  8. Ota Y, Taniguchi H, Nakajima T et al (2012) Autonomous distributed V2G (vehicle-to-grid) satisfying scheduled charging. IEEE Trans Smart Grid 3(1):559-564
  9. Shao SN, Pipattanasomporn M, Rahman S (2012) Grid inte- gration of electric vehicles and demand response with customer choice. IEEE Trans Smart Grid 3(1):543-550
  10. Escudero-Garza ´s JJ, Garcı ´a-Armada A, Seco-Granados G (2012) Fair design of plug-in electric vehicles aggregator for V2G regulation. IEEE Trans Veh Technol 61(8): 3406-3419
  11. Chukwu UC, Mahajan SM, Spina I et al (2013) A nomogram for estimating energy loss in a distribution network due to penetration of V2G. In: Proceedings of the 2013 international conference on clean electrical power (ICCEP'13), Alghero, Italy, 11-13 Jun 2013, pp 476-481
  12. Chukwu UC, Mahajan SM (2013) Real-time management of power systems with V2G facility for smart-grid applications. IEEE Trans Sustain Energy 5(2):558-566
  13. Cheng L, Chang Y, Lin J et al (2013) Power system re- liability assessment with electric vehicle integration using battery exchange mode. IEEE Trans Sustain Energy 4(4):1034-1042
  14. Thirugnanam K, Joy TPER, Singh M et al (2014) Modeling and control of contactless based smart charging station in V2G scenario. IEEE Trans Smart Grid 5(1):337-348
  15. Sundstrom O, Binding C (2010) Planning electric-drive ve- hicle charging under constrained grid conditions. In: Pro- ceedings of the 2010 international conference on power system technology (POWERCON'10), Hangzhou, China, 24-28 Oct 2010, 6 pp
  16. Sundstrom O, Binding C (2012) Flexible charging optimization for electric vehicles considering distribution grid constraints. IEEE Trans Smart Grid 3(1):26-37
  17. Binding C, Gantenbein D, Jansen B et al (2010) Electric vehicle fleet integration in the Danish EDISON project-a virtual power plant on the island of Bornholm. In: Proceedings of the 2010 IEEE Power and Energy Society general meeting, Minneapolis, MN, USA, 25-29 Jul 2010, 8 pp
  18. Kristoffersen TK, Capion K, Meibom P (2011) Optimal charg- ing of electric drive vehicles in a market environment. Appl Energy 88(5):1940-1948
  19. Pillai JR, Bak-Jensen B (2011) Integration of vehicle-to-grid in the western Danish power system. IEEE Trans Sustain Energy 2(1):12-19
  20. Kiviluoma J, Meibom P (2011) Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles. Energy 36(3):1758-1767
  21. Rautiainen A, Mutanen A, Repo S et al (2013) Case studies on impacts of plug-in vehicle charging load on the planning of urban electricity distribution networks. In: Proceedings of the 8th international conference and exhibition on ecological vehi- cles and renewable energies (EVER'13), Monte Carlo, Monaco, 27-30 Mar 2013, 7 pp
  22. Rautiainen A, Repo S, Ja ¨rventausta P et al (2012) Statistical charging load modelling of PHEVs in electricity distribution networks using national travel survey data. IEEE Trans Smart Grid 3(4):1650-1659
  23. Ericsson E (2000) Variability in urban driving patterns. Trans- port Res D 5(5):337-354
  24. Ericsson E (2001) Independent driving pattern factors and their influence on fuel-use and exhaust emission factors. Transport Res D 6(5):325-345
  25. Brundell-Freij K, Ericsson E (2005) Influence of street charac- teristics, driver category and car performance on urban driving patterns. Transport Res D 10(3):213-229
  26. Yokoi Y, Ichikawa S, Doki S et al (2004) Driving pattern pre- diction for an energy management system of hybrid electric vehicles in a specific driving course. In: Proceedings of the 30th annual conference of IEEE Industrial Electronics Society (IECON'04), Vol 2, Busan, Republic of Korea, 2-6 Nov 2004, pp 1727-1732
  27. Wang QD, Huo H, He KB et al (2008) Characterization of ve- hicle driving patterns and development of driving cycles in Chinese cities. Transport Res D 13(5):289-297
  28. Shahidinejad S, Bibeau E, Filizadeh S (2010) Statistical devel- opment of a duty cycle for plug-in vehicles in a North American urban setting using fleet information. IEEE Trans Veh Technol 59(8):3710-3719
  29. Christensen L, Kveiborg O, Mabit SL (2010) The market for electric vehicles-What do potential users want? In: Proceed- ings of the 12th world conference on transportation research (WCTR'10), Lisbon, Portugal, 11-15 Jul 2010
  30. Pearre NS, Kempton W, Guensler RL et al (2011) Electric ve- hicles: how much range is required for a day's driving? Trans- port Res C 19(6):1171-1184
  31. Lee TK, Bareket Z, Gordon T et al (2012) Stochastic modeling for studies of real-world PHEV usage: driving schedule and daily temporal distributions. IEEE Trans Veh Technol 61(4):1493-1502
  32. Yu H, Tseng F, McGee R (2012) Driving pattern identification for EV range estimation. In: Proceedings of the 2012 IEEE in- ternational electric vehicle conference (IEVC'12), Greenville, SC, USA, 4-8 Mar 2012, 7 pp
  33. Raykin L, Roorda MJ, MacLean HL (2012) Impacts of driving patterns on tank-to-wheel energy use of plug-in hybrid electric vehicles. Transport Res D 17(3):243-250
  34. Wu QW, Nielsen AH, Østergaard J et al (2010) Driving pattern analysis for electric vehicle (EV) grid integration study. In: Proceedings of the 2010 IEEE PES innovative smart grid tech- nologies conference Europe (ISGT Europe'10), Gothenberg, Sweden, 11-13 Oct 2010, 6 pp

Cited by

Sorted by citations

Authors
LIU, Z., WU, Q., CHRISTENSEN, L., RAUTIAINEN, A., & XUE, Y.
Affiliations
  • Technical University of Denmark (DK)
  • Tampere University of Technology (FI)
  • State Grid Corporation of China (China) (CN)
Corresponding author
WU, Qiuwei
Venue
Journal of Modern Power Systems and Clean Energy
Published
2015-05-01
Volume
3
Issue
2
Pages
180-189
ISSN
  • 2196-5420 (ISSN-L)
  • 2196-5625
OpenAlex
W1972367166
Cited by
37
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 4 · 2019: 9 · 2018: 4 · 2016: 2
FWCI
0.96
Type
journal article
Language
en
Open access
Locations
  • Journal of Modern Power Systems and Clean Energy (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion, other-oa)
Funders
Nordic Energy Research
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
Keywords
electric vehicles, driving patterns, National Travel Survey, vehicle-to-grid, EV charging and discharging, demand-side flexibility, power system integration, Nordic countries

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review