000170228 001__ 170228
000170228 005__ 20260407115449.0
000170228 0247_ $$2doi$$a10.3390/en19020371
000170228 0248_ $$2sideral$$a148708
000170228 037__ $$aART-2026-148708
000170228 041__ $$aeng
000170228 100__ $$aCastillo-Calderón, Jairo
000170228 245__ $$aEnergy Consumption Prediction in Battery Electric Vehicles: A Systematic Literature Review
000170228 260__ $$c2026
000170228 5060_ $$aAccess copy available to the general public$$fUnrestricted
000170228 5203_ $$aPredicting energy consumption in battery electric vehicles (BEVs) is a complex task due to the large number of influencing factors and their interdependencies. Nevertheless, reliable energy consumption estimation is essential to reduce range anxiety, facilitate route planning, manage charging infrastructure, and support more effective travel decisions that lower operational risks in transportation, thereby fostering wider BEV adoption. In this context, the present study examines the existing literature on methodologies for predicting BEV energy consumption through a systematic literature review (SLR) following the Denyer and Tranfield protocol and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The analysis covers modelling approaches, computational tools, model accuracy metrics, variable topology, sampling frequency and analysis period, modelling scale, and data sources. In addition, this review incorporates a structured assessment of the methodological quality of the included studies and a systematic evaluation of risk of bias, enabling a critical appraisal of the reliability and generalisability of reported findings. A comprehensive classification of modelling methodologies and variables is proposed, providing an integrative reference framework for future research. Overall, this study addresses existing research gaps, identifies current methodological limitations, and outlines directions for future work on BEV energy consumption prediction.
000170228 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000170228 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000170228 700__ $$0(orcid)0000-0002-5857-8003$$aLarrodé-Pellicer, Emilio$$uUniversidad de Zaragoza
000170228 7102_ $$15004$$2530$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Ingen.e Infraestr.Transp.
000170228 773__ $$g19, 2 (2026), 371 [49 pp].$$pENERGIES$$tEnergies$$x1996-1073
000170228 8564_ $$s2984332$$uhttps://zaguan.unizar.es/record/170228/files/texto_completo.pdf$$yVersión publicada
000170228 8564_ $$s2439585$$uhttps://zaguan.unizar.es/record/170228/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000170228 909CO $$ooai:zaguan.unizar.es:170228$$particulos$$pdriver
000170228 951__ $$a2026-03-26-14:32:07
000170228 980__ $$aARTICLE