{"title":"Representative driving cycle-based framework to model indirect CO2 emissions from electric cars","authors":"Aishree Boruah , Digvijay Sampatrao Pawar , Ravisha Jain , Tejaswini Eregowda , Kishalay Mitra , Pritha Chatterjee","doi":"10.1016/j.trd.2025.104777","DOIUrl":null,"url":null,"abstract":"<div><div>Electric vehicle (EV) emission studies often rely on standard driving cycles and homogeneous grid compositions, neglecting regional variations. This study assesses EV well-to-wheel (WTW) emissions using a clustering-based optimized driving cycle model. Scenario-based WTW framework analyzes the emission impact of EV penetration, grid decarbonization, and internal combustion engine vehicle (ICEV) retirement policies at state and national levels through 2030. Tailored driving cycle estimates EV energy consumption (0.144 kWh/km) and emission factor (213 g CO<sub>2</sub>/km) using powertrain simulations, 45 % and 69.41 % higher than traditional cycle evaluations, respectively. 30 % EV penetration and accelerated grid decarbonization could potentially reduce sales emissions by 26.35 % (Telangana) and 33.98 % (India), though raise stock emissions. Early ICEV retirement would potentially reduce stock emissions by 20.54 % (Telangana) and 28.69 % (India). Vehicle kilometer traveled is identified as a crucial parameter impacting emissions. Transport decarbonization requires faster electrification, cleaner grid, early ICEV retirements, reduced travel demand, and enhanced battery efficiency.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"144 ","pages":"Article 104777"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925001877","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Electric vehicle (EV) emission studies often rely on standard driving cycles and homogeneous grid compositions, neglecting regional variations. This study assesses EV well-to-wheel (WTW) emissions using a clustering-based optimized driving cycle model. Scenario-based WTW framework analyzes the emission impact of EV penetration, grid decarbonization, and internal combustion engine vehicle (ICEV) retirement policies at state and national levels through 2030. Tailored driving cycle estimates EV energy consumption (0.144 kWh/km) and emission factor (213 g CO2/km) using powertrain simulations, 45 % and 69.41 % higher than traditional cycle evaluations, respectively. 30 % EV penetration and accelerated grid decarbonization could potentially reduce sales emissions by 26.35 % (Telangana) and 33.98 % (India), though raise stock emissions. Early ICEV retirement would potentially reduce stock emissions by 20.54 % (Telangana) and 28.69 % (India). Vehicle kilometer traveled is identified as a crucial parameter impacting emissions. Transport decarbonization requires faster electrification, cleaner grid, early ICEV retirements, reduced travel demand, and enhanced battery efficiency.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.