The environment‐friendly nature of E‐vehicles (electric vehicles) coupled with higher energy efficiency has increased their popularity in the automotive industry. A detailed study has been conducted in this article to evaluate the role of the energy mix for electricity generation at the charging locations in secondary C emissions from E‐vehicles. The E‐vehicle market is booming in India. Evaluation of indirect C emissions was conducted for 3 energy mix scenarios in India, and the results showed that in the present energy mix scenario, E‐vehicle emissions will be more than that of conventional‐fuel‐based vehicles. An energy consumption model for the E‐vehicle was also developed in this article using MATLAB Simulink, by considering road slope and driving conditions as input parameters. The developed model was tested for 3 driving conditions, namely (i) Flat road at a constant speed, (ii) Extra Urban Driving Cycle (EUDC), and (iii) Real‐time driving condition, to estimate the relation between the energy consumption pattern and the driving range with road slope. Simulation results showed variation in the driving range of the E‐vehicles regarding input parameters like road slope and vehicle speed. Therefore, this model could serve as an effective tool for establishing charging stations at strategic locations. Integr Environ Assess Manag 2020;16:998–1007. © 2020 SETAC

中文翻译：

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电动汽车的间接碳排放和能源消耗模型：印度情景。

电动汽车（电动汽车）的环境友好性以及更高的能效使其在汽车工业中的知名度不断提高。本文已进行了详细的研究，以评估能源组合在电动汽车二次C排放中充电位置发电的作用。印度的电动汽车市场正在蓬勃发展。印度对3种能源混合情景进行了间接C排放评估，结果表明，在当前的能源混合情景中，电动汽车排放将比传统燃料汽车多。本文还通过考虑道路坡度和驾驶条件作为输入参数，使用MATLAB Simulink开发了电动汽车的能耗模型。对开发的模型进行了3种行驶条件的测试，即（i）以恒定速度行驶的平坦道路，（ii）额外的城市行驶周期（EUDC），以及（iii）实时行驶条件，以估算能量消耗模式和行驶坡度与行驶距离之间的关系。仿真结果表明，在诸如坡度和车速等输入参数方面，电动汽车的行驶范围存在差异。因此，该模型可以作为在战略位置建立充电站的有效工具。Integr环境评估管理2020； 16：998-1007。©2020 SETAC