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The adoption of electric vehicles (EVs) represents a critical shift in personal mobility, fueled by policy support and advancements in automotive technology. However, the expansion of EVs for long-distance travel is hindered by charging…

系统与控制 · 电气工程与系统科学 2025-10-14 Jingbo Wang , Harshal D. Kaushik , Jie Zhang

Due to the ongoing electrification of transport in combination with limited power grid capacities, efficient ways to schedule the charging of electric vehicles (EVs) are needed for the operation of, for example, large parking lots. Common…

Freight electrification introduces new opportunities and challenges for planning and operation. Although research on charging infrastructure planning and operation is widely available for general electric vehicles, unique physical and…

系统与控制 · 电气工程与系统科学 2023-11-29 Md Rakibul Alam , Zhaomiao Guo

Decarbonizing long-haul freight requires large-scale deployment of high-power charging infrastructure. This paper studies a multi-period charging station location problem that determines where and when to deploy charging capacity for…

We present a new model for finding the optimal placement of electric vehicle charging stations across a multi-period time frame so as to maximise electric vehicle adoption. Via the use of advanced discrete choice models and user classes,…

Plug-In Electric Vehicles (PEV) have become a key factor driving towards smart cities, which allow for higher energy efficiency and lower environmental impact across urban sectors. Industry vision for future PEV includes the ability to…

最优化与控制 · 数学 2018-01-30 Danielle Meyer , Jiankang Wang

This work addresses electric vehicle (EV) charging station placement through a bi-level optimization model, where the upper-level planner maximizes net revenue by selecting station locations under budget constraints, while EV users at the…

系统与控制 · 电气工程与系统科学 2026-05-12 Mobina Nankali , Michael W. Levin

The transition from conventional mobility to electromobility largely depends on charging infrastructure availability and optimal placement.This paper examines the optimal placement of charging stations in urban areas. We maximise the…

机器学习 · 计算机科学 2022-06-14 Leonie von Wahl , Nicolas Tempelmeier , Ashutosh Sao , Elena Demidova

This paper describes a method based on mixed-integer linear programming to cost-optimally locate and size chargers for electric vehicles (EVs) in distribution grids as a function of the driving demand. The problem accounts for the notion of…

系统与控制 · 电气工程与系统科学 2021-11-16 Biswarup Mukherjee , Fabrizio Sossan

Supported by the technical development of electric battery and charging facilities, plug-in electric vehicle (PEV) has the potential to be mobile energy storage (MES) for energy delivery from resourceful charging stations (RCSs) to…

系统与控制 · 电气工程与系统科学 2019-10-29 Nan Chen , Mushu Li , Miao Wang , Jinghuan Ma , Xuemin , Shen

In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an…

系统与控制 · 计算机科学 2017-11-30 Yi Gu , Huaiguang Jiang , Jun Jason Zhang , Yingchen Zhang , Eduard Muljadi , Francisco J. Solis

As the number of charging Plug-in Electric Vehicles (PEVs) increase, due to the limited power capacity of the distribution feeders and the sensitivity of the mid-way distribution transformers to the excessive load, it is crucial to control…

系统与控制 · 计算机科学 2016-01-08 Abouzar Ghavami , Koushik Kar , Aparna Gupta

This paper studies the joint fleet sizing and charging system planning problem for a company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods transportation. Most of the relevant published papers focus on…

最优化与控制 · 数学 2018-11-02 Hongcai Zhang , Colin J. R. Sheppard , Timothy E. Lipman , Scott J. Moura

Advantages of electric vehicles (EV) include reduction of greenhouse gas and other emissions, energy security, and fuel economy. The societal benefits of large-scale adoption of EVs cannot be realized without adequate deployment of publicly…

最优化与控制 · 数学 2017-01-25 Sina Faridimehr , Saravanan Venkatachalam , Ratna Babu Chinnam

This paper considers the problem of charging station pricing and plug-in electric vehicles (PEVs) station selection. When a PEV needs to be charged, it selects a charging station by considering the charging prices, waiting times, and travel…

计算机科学与博弈论 · 计算机科学 2015-12-01 Wei Yuan , Jianwei Huang , Ying Jun Zhang

The energy transition in transportation benefits from demand-based models to determine the optimal placement of refueling stations for alternative fuel vehicles such as battery electric trucks. A formulation known as the refueling station…

最优化与控制 · 数学 2023-10-10 Nicholas Nordlund , Leandros Tassiulas , Jan-Hendrik Lange

For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station placement is inevitable and could be costly if done improperly. Some researches consider a general setup, using…

系统与控制 · 计算机科学 2018-08-30 Qiushi Cui , Yang Weng , Chin-Woo Tan

Plug-in electric vehicles (PEVs) are considered as flexible loads since their charging schedules can be shifted over the course of a day without impacting drivers mobility. This property can be exploited to reduce charging costs and adverse…

系统与控制 · 计算机科学 2016-05-04 Javad Mohammadi , Marina Gonzalez Vaya , Soummya Kar , Gabriela Hug

This paper presents evS2CP, an optimization-based framework for simultaneous speed and charging planning designed for connected electric vehicles (EVs). With EVs emerging as competitive alternatives to internal combustion engine vehicles,…

系统与控制 · 电气工程与系统科学 2024-12-13 Minwoo Gwon , Jiwon Kim , Seungjun Yoo , Kwang-Ki K. Kim

Pure electric vehicles (PEVs) are increasingly adopted to decarbonize the transport sector and mitigate global warming. However, the inadequate PEV charging infrastructure may hinder the further adoption of PEVs in the large-scale traffic…

系统与控制 · 电气工程与系统科学 2023-08-29 Jinhao Li , Yu Hui Yuan , Qiushi Cui , Hao Wang