This document has not been cited yet.

1. Abid, M.; Tabaa, M.; Chakir, A.; Hachimi, H. Routing and charging of electric vehicles: Literature review. Energy Rep. 2022, 8, 556–578. [CrossRef]
   Paper not yet in RePEc: Add citation now
   

2. Al-Wreikat, Y.; Serrano, C.; Sodré, J.R. Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving. Appl. Energy 2021, 297, 117096. [CrossRef]

3. Al-Wreikat, Y.; Serrano, C.; Sodré, J.R. Effects of ambient temperature and trip characteristics on the energy consumption of an electric vehicle. Energy 2022, 238, 122028. [CrossRef]

4. Amiri, A.; Amin, S.H.; Zolfagharinia, H. A bi-objective green vehicle routing problem with a mixed fleet of conventional and electric trucks: Considering charging power and density of stations. Expert Syst. Appl. 2023, 213, 119228. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
5. Amiri, A.; Zolfagharinia, H.; Amin, S.H. A robust multi-objective routing problem for heavy-duty electric trucks with uncertain energy consumption. Comput. Ind. Eng. 2023, 178, 109108. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
6. Asamer, J.; Graser, A.; Heilmann, B.; Ruthmair, M. Sensitivity analysis for energy demand estimation of electric vehicles. Transp. Res. D Transp. Environ. 2016, 46, 182–199. [CrossRef] Energies 2024, 17, 1596 26 of 27
   Paper not yet in RePEc: Add citation now
   
7. Baker, B.M.; Ayechew, M. A genetic algorithm for the vehicle routing problem. Comput. Oper. Res. 2003, 30, 787–800. [CrossRef]
   Paper not yet in RePEc: Add citation now
   

8. Bakker, G. Infrastructure killed the electric car. Nat. Energy 2021, 6, 947–948. [CrossRef]

9. Bao, D.W.; Zhou, J.Y.; Zhang, Z.Q.; Chen, Z.; Kang, D. Mixed fleet scheduling method for airport ground service vehicles under the trend of electrification. J. Air Transp. Manag. 2023, 108, 102379. [CrossRef]
   Paper not yet in RePEc: Add citation now
   
10. Barth, M.; Boriboonsomsin, K. Energy and emissions impacts of a freeway-based dynamic eco-driving system. Transp. Res. D Transp. Environ. 2009, 14, 400–410. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
11. Basso, R.; Kulcsár, B.; Egardt, B.; Lindroth, P.; Sanchez-Diaz, I. Energy consumption estimation integrated into the Electric Vehicle Routing Problem. Transp. Res. D Transp. Environ. 2019, 69, 141–167. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

12. Basso, R.; Kulcsár, B.; Sanchez-Diaz, I.; Qu, X. Dynamic stochastic electric vehicle routing with safe reinforcement learning. Transp. Res. E Logist. Transp. Rev. 2022, 157, 102496. [CrossRef]

13. Chen, Y.; Wu, G.; Sun, R.; Dubey, A.; Laszka, A.; Pugliese, P. A Review and Outlook of Energy Consumption Estimation Approaches for Electric Vehicles. arXiv 2020. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
14. Desreveaux, A.; Bouscayrol, A.; Trigui, R.; Castex, E.; Klein, J. Impact of the Velocity Profile on Energy Consumption of Electric Vehicles. IEEE Trans. Veh. Technol. 2019, 68, 11420–11426. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
15. Do Electric Cars Work in Cold Weather? Get the Facts. . .—Union of Concerned Scientists. Available online: https://blog.ucsusa. org/dave-reichmuth/electric-cars-cold-weather-temperatures/ (accessed on 25 January 2023).
    Paper not yet in RePEc: Add citation now
    
16. Donkers, A.; Yang, D.; Viktorović, M. Influence of driving style, infrastructure, weather and traffic on electric vehicle performance. Transp. Res. D Transp. Environ. 2020, 88, 102569. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
17. Duman, E.N.; Taş, D.; Çatay, B. Branch-and-price-and-cut methods for the electric vehicle routing problem with time windows. Int. J. Prod. Res. 2021, 60, 5332–5353. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
18. Erdelić, T.; Carić, T. Goods Delivery with Electric Vehicles: Electric Vehicle Routing Optimization with Time Windows and Partial or Full Recharge. Energies 2022, 15, 285. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
19. Evtimov, I.; Ivanov, R.; Sapundjiev, M. Energy Consumption of Auxiliary Systems of Electric Cars. In MATEC Web of Conferences; EDP Sciences: Les Ulis, France, 2017; Volume 133, p. 06002. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

20. Franceschetti, A.; Honhon, D.; Van Woensel, T.; Bektaş, T.; Laporte, G. The time-dependent pollution-routing problem. Transp. Res. Part B Methodol. 2013, 56, 265–293. [CrossRef]

21. Genikomsakis, K.N.; Mitrentsis, G. A computationally efficient simulation approach for estimating energy consumption of electric vehicles in the context of route planning applications. Transp. Res. D Transp. Environ. 2017, 50, 98–118. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
22. Hassan, M.R.M.; Mossa, M.A.; Dousoky, G.M. Evaluation of Electric Dynamic Performance of an Electric Vehicle System Using Different Control Techniques. Electronics 2021, 10, 2586. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
23. Holland, J.H. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. Ann Arbor University of Michigan Press 1975, pp. viii, 183. Available online: https://books.google.com/ books/about/Adaptation_in_Natural_and_Artificial_Sys.html?id=YE5RAAAAMAAJ (accessed on 14 March 2023).
    Paper not yet in RePEc: Add citation now
    
24. Jia, Y.H.; Mei, Y.; Zhang, M. Confidence-based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem with Comparison of Different Encoding Schemes. IEEE Trans. Evol. Comput. 2022, 26, 1–15. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
25. König, A.; Mayer, S.; Nicoletti, L.; Tumphart, S.; Lienkamp, M. The Impact of HVAC on the Development of Autonomous and Electric Vehicle Concepts. Energies 2022, 15, 441. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
26. Kavalchuk, I.; Arisoy, H.; Stojcevski, A.; Maun, A.; Oo, T.; Elements, A.K. Advanced Simulation of Power Consumption of Electric Vehicles. Int. J. Comput. Syst. Eng. 2015, 9, 57–58.
    Paper not yet in RePEc: Add citation now
    
27. Lam, E.; Desaulniers, G.; Stuckey, P.J. Branch-and-cut-and-price for the Electric Vehicle Routing Problem with Time Windows, Piecewise-Linear Recharging and Capacitated Recharging Stations. Comput. Oper. Res. 2022, 145, 105870. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
28. Li, W.; Stanula, P.; Egede, P.; Kara, S.; Herrmann, C. Determining the Main Factors Influencing the Energy Consumption of Electric Vehicles in the Usage Phase. Procedia CIRP 2016, 48, 352–357. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
29. Menger, K.; Dierker, E.; Sigmund, K.; Dawson, J.W. Ergebnisse Eines Mathematischen Kolloquiums. 1998. Available online: https://philpapers.org/rec/MENEEM (accessed on 7 June 2023).
    Paper not yet in RePEc: Add citation now
    

30. Patt, A.; Aplyn, D.; Weyrich, P.; van Vliet, O. Availability of private charging infrastructure influences readiness to buy electric cars. Transp. Res. Part A Policy Pract. 2019, 125, 1–7. [CrossRef]

31. Sadati, M.E.H.; Çatay, B. A hybrid variable neighborhood search approach for the multi-depot green vehicle routing problem. Transp. Res. E Logist. Transp. Rev. 2021, 149, 102293. [CrossRef]

32. Schneider, M.; Stenger, A.; Goeke, D. The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations. Transp. Sci. 2014, 48, 500–520. [CrossRef]

33. Solomon, M.M. Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints. Oper. Res. 1987, 35, 254–265. [CrossRef]

34. Srinivas, M.; Patnaik, L.M. Genetic Algorithms: A Survey. Computer 1994, 27, 17–26. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

35. Taalbi, J.; Nielsen, H. The role of energy infrastructure in shaping early adoption of electric and gasoline cars. Nat. Energy 2021, 6, 970–976. [CrossRef]

36. Ulder, N.L.J.; Aarts, E.H.L.; Bandelt, I.; Van Laarhoven, P.J.M.; Pesch, E. Genetic Local Search Algorithms for the Traveling Salesman Problem. In Parallel Problem Solving from Nature, Proceedings of the 1st Workshop, PPSN I, Dortmund, Germany, 1–3 October 1990; Springer: Berlin/Heidelberg, Germany, 1991; pp. 109–116.
    Paper not yet in RePEc: Add citation now
    
37. Volvo FE Electric|Volvo Trucks. Available online: https://www.volvotrucks.co.uk/en-gb/trucks/electric.html (accessed on 16 March 2023). Energies 2024, 17, 1596 27 of 27
    Paper not yet in RePEc: Add citation now
    
38. Wang, J.; Besselink, I.; Nijmeijer, H. Battery electric vehicle energy consumption prediction for a trip based on route information. Proc. IMechE Part D J. Automob. Eng. 2018, 232, 1528–1542. [CrossRef] Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
    Paper not yet in RePEc: Add citation now
    
39. Wang, Y.; Zhou, J.; Sun, Y.; Fan, J.; Wang, Z.; Wang, H. Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations. Expert. Syst. Appl. 2023, 219, 119654. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
40. Welsh Town Claims Record Title for World’s Steepest Street|Guinness World Records. Available online: https://www. guinnessworldrecords.com/news/2019/7/welsh-town-claims-title-for-worlds-steepest-street-582452 (accessed on 16 March 2023).
    Paper not yet in RePEc: Add citation now
    

41. Xiao, Y.; Zhang, Y.; Kaku, I.; Kang, R.; Pan, X. Electric vehicle routing problem: A systematic review and a new comprehensive approach with nonlinear energy recharging and consumption. Renew. Sustain. Energy Rev. 2021, 151, 111567. [CrossRef]

42. Zhang, H.; Zhang, Q.; Ma, L.; Zhang, Z.; Liu, Y. A hybrid ant colony optimization algorithm for a multi-objective vehicle routing problem with flexible time windows. Inf. Sci. 2019, 490, 166–190. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
43. Zhang, L.; Liu, Z.; Yu, L.; Fang, K.; Yao, B.; Yu, B. Routing optimization of shared autonomous electric vehicles under uncertain travel time and uncertain service time. Transp. Res. E Logist. Transp. Rev. 2022, 157, 102548. [CrossRef]
    Paper not yet in RePEc: Add citation now
    
44. Zhu, M.; Wang, X.; Wang, Y. Human-like autonomous car-following approach with deep reinforcement learning. Transp. Res. Part C Emerg. Technol. 2018, 97, 348–368. [CrossRef]
    Paper not yet in RePEc: Add citation now
    

1. Lane Change Trajectory Planning for Intelligent Electric Vehicles in Dynamic Traffic Environments: Aiming at Optimal Energy Consumption. (2025). Hu, Lin ; Wong, Pak Kin ; Huang, Jing ; Wang, Jie ; Zhao, Jing.
   In: Sustainability.
   RePEc:gam:jsusta:v:17:y:2025:i:9:p:4235-:d:1650914.

   Full description at Econpapers || Download paper

2. Comparative Sensitivity Analyses of Energy Consumption in Response to Average Speed Between Electric Vehicles and Conventional Vehicles: Case Study in Beijing, China. (2025). Wu, Yizheng ; Li, Songsong ; Lei, Xue ; Lu, Hongyu ; Fan, Pengfei ; Liu, Rui ; Song, Guohua.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:9:p:2268-:d:1645684.

   Full description at Econpapers || Download paper

3. Research on energy consumption law and charging strategies design of electric buses. (2025). Liu, Peng ; Lin, NI ; Wang, Zhenpo ; Zhang, Zhaosheng ; Liang, Yiqiang ; Xia, Ling ; Tang, Chaoyang.
   In: Energy.
   RePEc:eee:energy:v:322:y:2025:i:c:s0360544225009697.

   Full description at Econpapers || Download paper

4. Hierarchical eco-driving of connected hybrid electric vehicles: Integrating predictive cruise control and cost-to-go approximation-guided energy management. (2025). Song, Yunfeng ; You, Xiongxiong ; Zhang, Yahui ; Zhao, Yahui ; Wei, Zeyi ; Jiao, Xiaohong.
   In: Energy.
   RePEc:eee:energy:v:319:y:2025:i:c:s036054422500221x.

   Full description at Econpapers || Download paper

5. Extreme heat effects on electric vehicle energy consumption and driving range. (2025). Kuby, Michael ; Parker, Nathan C ; Stechel, Ellen B ; Liu, Jingteng.
   In: Applied Energy.
   RePEc:eee:appene:v:380:y:2025:i:c:s0306261924024358.

   Full description at Econpapers || Download paper

6. Improving Sustainability in Urban and Road Transportation: Dual Battery Block and Fuel Cell Hybrid Power System for Electric Vehicles. (2024). Armenta-Deu, Carlos.
   In: Sustainability.
   RePEc:gam:jsusta:v:16:y:2024:i:5:p:2110-:d:1350610.

   Full description at Econpapers || Download paper

7. Analyzing Energy Efficiency and Battery Supervision in Electric Bus Integration for Improved Urban Transport Sustainability. (2024). Lakatos, Istvan ; Saly, Gabor ; Szurke, Szabolcs Kocsis.
   In: Sustainability.
   RePEc:gam:jsusta:v:16:y:2024:i:18:p:8182-:d:1481340.

   Full description at Econpapers || Download paper

8. Electric Vehicle Routing Problem with an Enhanced Vehicle Dispatching Approach Considering Real-Life Data. (2024). Tabaa, Mohamed ; Abid, Meryem ; Hachimi, Hanaa.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:7:p:1596-:d:1364654.

   Full description at Econpapers || Download paper

9. Ambient Temperature Effects on Energy Consumption and CO 2 Emissions of a Plug-in Hybrid Electric Vehicle. (2024). Shahbakhti, Mahdi ; Abediasl, Hamidreza ; Ansari, Amir.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:14:p:3566-:d:1439226.

   Full description at Econpapers || Download paper

10. A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation. (2024). Qu, Xiaobo ; Xu, Zhigang ; Liu, Yang ; Zhang, Zhe.
    In: Renewable Energy.
    RePEc:eee:renene:v:234:y:2024:i:c:s0960148124013119.

    Full description at Econpapers || Download paper

11. Parameters collaborative optimization design and innovation verification approach for fuel cell distributed drive electric tractor. (2024). Yan, Xianghai ; Zhao, Sixia ; Zhang, Mingzhu ; Liu, Mengnan ; Xu, Liyou ; Hu, Chenming.
    In: Energy.
    RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002561.

    Full description at Econpapers || Download paper

12. Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives. (2024). Zhang, Zhe ; Wang, Yizhou ; He, Hongdi ; Huang, Haichao ; Li, Bowen.
    In: Applied Energy.
    RePEc:eee:appene:v:375:y:2024:i:c:s0306261924014934.

    Full description at Econpapers || Download paper

13. A highly credible and efficient real-time carbon MRV + O system for delicacy management of distributed carbon abatement behaviors. (2024). Guo, RU ; Li, Qingqing ; Yang, Nan ; Ni, Kan ; Shi, Jinbo ; Zhang, Chongyi ; Liao, Zhenliang ; Shen, Yifan ; Wang, Ruohan.
    In: Applied Energy.
    RePEc:eee:appene:v:355:y:2024:i:c:s030626192301629x.

    Full description at Econpapers || Download paper

14. Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy. (2023). Juan, Angel ; Fluechter, Tristan ; Ammouriova, Majsa ; Calvet, Laura ; Panadero, Javier ; Ghorbani, Elnaz.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:3:p:1268-:d:1046017.

    Full description at Econpapers || Download paper

15. Estimating Energy Consumption of Battery Electric Vehicles Using Vehicle Sensor Data and Machine Learning Approaches. (2023). Mona, Yuttana ; Wongsapai, Wongkot ; Achariyaviriya, Witsarut ; Katongtung, Tossapon ; Suttakul, Pana ; Tippayawong, Nakorn ; Janpoom, Kittitat.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:17:p:6351-:d:1231261.

    Full description at Econpapers || Download paper

16. A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures. (2023). Zhao, Zhichao ; Wang, YI ; Ou, Yang ; Feng, Renhua ; Li, LU ; Yu, Jing.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:14:p:5253-:d:1189839.

    Full description at Econpapers || Download paper

17. Combined single-pedal and low adhesion control systems for enhanced energy regeneration in electric vehicles: Modeling, simulation, and on-field test. (2023). Du, Xiaofang ; Li, Shicheng ; Wang, Nian ; Xu, Lin ; Lin, Feng.
    In: Energy.
    RePEc:eee:energy:v:269:y:2023:i:c:s0360544223003766.

    Full description at Econpapers || Download paper

18. Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression. (2023). Yu, Yuanbin ; Sun, Weiyi ; Cao, Qiming ; Jiang, Junyu ; Min, Haitao ; Luo, Chunqi ; Zhang, Zhaopu.
    In: Energy.
    RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222027529.

    Full description at Econpapers || Download paper

19. Grid-connected cabin preheating of Electric Vehicles in cold climates – A non-flexible share of the EV energy use. (2023). Sorensen, Se Lekang ; Andresen, Inger ; Ludvigsen, Bjorn.
    In: Applied Energy.
    RePEc:eee:appene:v:341:y:2023:i:c:s030626192300418x.

    Full description at Econpapers || Download paper

20. Systematic Method for Developing Reference Driving Cycles Appropriate to Electric L-Category Vehicles. (2022). Baptista, Patricia ; Gao, Jianbing ; Chen, Haibo ; Duarte, Gonalo ; Watling, David.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:9:p:3466-:d:811775.

    Full description at Econpapers || Download paper

21. Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review. (2022). Miraftabzadeh, Seyed Mahdi ; Longo, Michela ; di Martino, Andrea.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:21:p:8115-:d:959222.

    Full description at Econpapers || Download paper

22. Framework for planning of EV charging infrastructure: Where should cities start?. (2022). Abdelgawad, Hossam ; Torkey, Alaa.
    In: Transport Policy.
    RePEc:eee:trapol:v:128:y:2022:i:c:p:193-208.

    Full description at Econpapers || Download paper

23. Impact of climatic conditions on prospects for integrated photovoltaics in electric vehicles. (2022). Dunlop, Ewan ; Thiel, Christian ; Jager-Waldau, Arnulf ; Tsakalidis, Anastasios ; Amillo, Ana Gracia ; Ota, Yasuyuki ; Tansini, Alessandro ; Taylor, Nigel ; Yamaguchi, Masafumi ; Nishioka, Kensuke ; Araki, Kenji ; Fontaras, Georgios.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000387.

    Full description at Econpapers || Download paper

24. The emerging driving force of energy consumption in China: Does digital economy development matter?. (2022). Wu, Haitao ; Hao, YU ; Xue, Yan ; Liu, Jianmin ; Tang, Chang.
    In: Energy Policy.
    RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522002221.

    Full description at Econpapers || Download paper

25. Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle. (2021). Fontaras, Georgios ; Komnos, Dimitrios ; Giechaskiel, Barouch.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:19:p:6195-:d:645377.

    Full description at Econpapers || Download paper

Report date: 2025-09-26 20:17:15 || Missing content? Let us know