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Electric vehicles (EVs) can be considered as flexible mobile battery storages in microgrids. For multiple microgrids in an area, coordinated scheduling on charging and discharging are required to avoid power exchange spikes between the…

Optimization and Control · Mathematics 2016-02-25 Dai Wang , Xiaohong Guan , Jiang Wu , Pan Li , Peng Zan , Hui Xu

Integration of plug-in electric vehicles (PEVs) with distributed renewable resources will decrease PEVs' well-to-wheels greenhouse gas emissions, promote renewable power adoption and defer power system investments. This paper proposes a…

Optimization and Control · Mathematics 2017-03-16 Hongcai Zhang , Scott J. Moura , Zechun Hu , Wei Qi , Yonghua Song

In this paper, a model predictive mixed integer control method for BYD Qin Plus DM-i (Dual Model intelligent) plug-in hybrid electric vehicle (PHEV) is proposed for co-optimization to reduce fuel consumption during car following. First, the…

Systems and Control · Electrical Eng. & Systems 2023-04-25 Qitao Li , Changfu Gong , Yuan Lin

In this paper we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine…

Optimization and Control · Mathematics 2015-03-11 Florian Häusler , Emanuele Crisostomi , Ilja Radusch , Robert Shorten

The energy and thermal management systems of hybrid electric vehicles (HEVs) are inherently interdependent. With the ongoing deployment of intelligent transportation systems (ITSs) and increasing vehicle connectivity, the integration of…

Systems and Control · Electrical Eng. & Systems 2026-02-26 Jie Han , Arash Khalatbarisoltani , Hai L. Vu , Xiaosong Hu , Jun Yang

While the transition to electric vehicles (EVs) is essential for decarbonizing the transportation system, the production and distribution of EVs entail substantial carbon costs. To ensure these emissions are accurately accounted for and…

Optimization and Control · Mathematics 2024-09-11 Tareq Alsaleh , Bilal Farooq

Effective co-optimization of energy management strategy (EMS) and thermal management (TM) is crucial for optimizing fuel efficiency in hybrid electric vehicles (HEVs). Driving conditions significantly influence the performance of both EMS…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Hanghang Cui , Arash Khalatbarisoltani , Jie Han , Wenxue Liu , Muhammad Saeed , Xiaosong Hu

The smart grid spawns many innovative ideas, but many of them cannot be easily integrated into the existing power system due to power system constraints, such as the lack of capacity to transport renewable energy in remote areas to the…

Systems and Control · Computer Science 2017-01-09 Albert Y. S. Lam , Ka-Cheong Leung , Victor O. K. Li

Learning-based intelligent energy management systems for plug-in hybrid electric vehicles (PHEVs) are crucial for achieving efficient energy utilization. However, their application faces system reliability challenges in the real world,…

Systems and Control · Electrical Eng. & Systems 2024-06-14 Hao Zhang , Nuo Lei , Boli Chen , Bingbing Li , Rulong Li , Zhi Wang

In recent years, developments in plug in hybrid electric vehicles have provided various environmental and economic advantages. In the future smart grids, electric vehicles are seen as an important means of transportation to reduce…

Optimization and Control · Mathematics 2018-02-13 Shanxuei Chen , Elizabeth Olivioufski , Braian Dods , Mohammd Hamdi

Increased electrification of energy end-usage can lead to network congestion during periods of high consumption. Flexibility of loads, such as aggregate smart charging of Electric Vehicles (EVs), is increasingly leveraged to manage grid…

Systems and Control · Electrical Eng. & Systems 2025-01-30 Nanda Kishor Panda , Peter Palensky , Simon H. Tindemans

Reinforcement learning-based (RL-based) energy management strategy (EMS) is considered a promising solution for the energy management of electric vehicles with multiple power sources. It has been shown to outperform conventional methods in…

Artificial Intelligence · Computer Science 2022-12-20 Jincheng Hu , Yang Lin , Jihao Li , Zhuoran Hou , Dezong Zhao , Quan Zhou , Jingjing Jiang , Yuanjian Zhang

Deploying real-time control on large-scale fleets of electric vehicles (EVs) is becoming pivotal as the share of EVs over internal combustion engine vehicles increases. In this paper, we present a Vehicle-to-Grid (V2G) algorithm to…

Systems and Control · Electrical Eng. & Systems 2022-10-17 Lorenzo Nespoli , Nina Wiedemann , Esra Suel , Yanan Xin , Martin Raubal , Vasco Medici

In recent years, the development of Artificial Intelligence (AI) has shown tremendous potential in diverse areas. Among them, reinforcement learning (RL) has proven to be an effective solution for learning intelligent control strategies. As…

Machine Learning · Computer Science 2023-05-23 Xinyang Wu , Elisabeth Wedernikow , Christof Nitsche , Marco F. Huber

Sales of new petrol and diesel passenger vehicles may not be permitted in the United Kingdom (UK) post-2030. Should this happen, it is likely that vehicles presently powered by hydrocarbons will be progressively replaced by Battery Electric…

General Economics · Economics 2021-01-05 Anthony D Stephens , David R Walwyn

The concept of low-carbon building is proposed to ameliorate the climate change caused by environmental problems and realize carbon neutrality at the building level in urban areas. In addition, renewable energy curtailment in the power…

Systems and Control · Electrical Eng. & Systems 2022-03-22 Zuxun Xiong , Xinwei Shen , Qinglai Guo , Hongbin Sun

An energy management scheme is presented for a grid-connected hybrid power system comprising of a photovoltaic generator as the primary power source and fuel-cell stacks as backup generation. Power production is managed between the two…

Systems and Control · Computer Science 2018-05-01 Adeel Sabir

As the global focus on combating environmental pollution intensifies, the transition to sustainable energy sources, particularly in the form of electric vehicles (EVs), has become paramount. This paper addresses the pressing need for Smart…

Optimization and Control · Mathematics 2024-09-16 Luca Ambrosino , Giuseppe Calafiore , Khai Manh Nguyen , Riadh Zorgati , Doanh Nguyen-Ngoc , Laurent El Ghaoui

The rise of 5G communication has transformed the telecom industry for critical applications. With the widespread deployment of 5G base stations comes a significant concern about energy consumption. Key industrial players have recently shown…

Networking and Internet Architecture · Computer Science 2025-08-25 Linfeng Shen , Guanzhen Wu , Cong Zhang , Xiaoyi Fan , Jiangchuan Liu

Due to their large power draws and increasing adoption rates, electric vehicles (EVs) will become a significant challenge for electric distribution grids. However, with proper charging control strategies, the challenge can be mitigated…

Systems and Control · Electrical Eng. & Systems 2020-07-21 Micah Botkin-Levy , Alexander Engelmann , Tillmann Mühlpfordt , Timm Faulwasser , Mads Almassalkhi