4.7 Article

Electric fleet charging management considering battery degradation and nonlinear charging profile

Related references

Note: Only part of the references are listed.
Article Thermodynamics

Smart techno-economic operation of electric vehicle charging station in Egypt

Peter Makeen et al.

Summary: This paper proposes a novel smart techno-economic operation method for electric vehicle charging stations (EVCS) controlled by an aggregator based on a hierarchal model. The deterministic charging scheduling is used to balance the generated and consumed power and surplus power is supplied to the utility grid. Mixed-integer linear programming (MILP) is used to solve the first stage, and Markov Decision Process Reinforcement Learning (MDP-RL) is used to maximize the charging station profit. The outcomes show a sufficient techno-economic hierarchical model for normal operation.

ENERGY (2023)

Article Chemistry, Physical

Enhancing the efficiency of charging & parking processes for Autonomous Mobile Robot fleets: A simulative evaluation

Maximilian Selmair et al.

Summary: This study focuses on the allocation of tasks to Autonomous Mobile Robots and optimizing parking and charging processes in a production setting. Through simulative evaluation, the study compares different allocation methods and availability rules to determine the most efficient parameters for an Autonomous Mobile Robot System. The results show that the proposed strategies outperform conventional strategies in terms of key performance indicators.

JOURNAL OF POWER SOURCES (2022)

Article Energy & Fuels

A cloud-based energy management strategy for hybrid electric city bus considering real-time passenger load prediction

Junzhe Shi et al.

Summary: This study combines passenger load prediction, dynamic programming algorithm, and rule extraction with cloud technology to achieve optimized energy management strategy for hybrid-electric city buses. The proposed framework leads to 4% and 11% lower bus operating costs in peak and off-peak hours.

JOURNAL OF ENERGY STORAGE (2022)

Article Thermodynamics

Energy management strategy for battery/supercapacitor hybrid electric city bus based on driving pattern recognition

Junzhe Shi et al.

Summary: This paper proposes a low computational cost EMS for hybrid battery/ultracapacitor electric buses, which effectively reduces energy consumption and battery life degradation through the use of V2C technology and optimized control rules.

ENERGY (2022)

Article Energy & Fuels

Electric vehicle battery remaining charging time estimation considering charging accuracy and charging profile prediction

Junzhe Shi et al.

Summary: Electric vehicles (EVs) are gaining popularity and it is crucial to accurately estimate the Remaining Charging Time (RCT) for EVs. However, finding an algorithm that achieves accurate RCT estimation is a challenge. This study proposes an algorithm that updates charging accuracy online and predicts charging current profiles to improve RCT estimation.

JOURNAL OF ENERGY STORAGE (2022)

Article Energy & Fuels

Modeling and state of charge estimation of inconsistent parallel lithium-ion battery module

Limei Wang et al.

Summary: This article proposes a method for PBM modeling and SOC estimation considering parallel cell inconsistency. Firstly, the PBM model is established and the optimal model order is determined. Then, a SOC estimation method is proposed. The results show that the proposed methods are effective in tracking the minimum SOC envelope of PBM.

JOURNAL OF ENERGY STORAGE (2022)

Article Thermodynamics

Electric bus coordinated charging strategy considering V2G and battery degradation

Jonatas Augusto Manzolli et al.

Summary: This study developed an optimization model to handle the charging schedule of electric bus fleets, aiming to minimize charging costs and consider battery degradation and energy trading. Through a real-world case study and sensitivity analysis, it was found that selling energy back to the grid may be economically attractive under certain charging cost conditions, and operation costs could be reduced by 38%.

ENERGY (2022)

Article Thermodynamics

Impacts of electric vehicle fast charging under dynamic temperature and humidity: Experimental and theoretically validated model analyses

Peter Makeen et al.

Summary: This paper proposes a smart scenario for DC-charging plug-in electric vehicles at any parking lot equipped with chargers. It investigates the impact of temperature and/or relative humidity on the charging process of the vehicles and introduces a novel classification model. The paper also successfully identifies the battery's dynamic behavior using a feedforward backpropagation neural network and Hammerstein-Wiener model.

ENERGY (2022)

Article Engineering, Electrical & Electronic

Robust MPC-based bidding strategy for wind storage systems in real-time energy and regulation markets

Yunyun Xie et al.

Summary: A robust model predictive control (RMPC)-based bidding strategy is proposed for wind-storage systems to increase revenue in real-time energy and regulation markets. The method optimizes bidding capacities and utilizes storage systems for arbitrage, with validation using PJM market data. The approach involves building an RMPC-based optimization model and applying the bidding strategy in real-time markets.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Article Construction & Building Technology

Brain-computer interface for hands-free teleoperation of construction robots

Yizhi Liu et al.

Summary: This paper introduces a BCI-based system that can remotely control robots by capturing workers' brainwaves, providing an innovative solution for hazardous operations where the worker's ability to physically direct the robot is limited.

AUTOMATION IN CONSTRUCTION (2021)

Article Chemistry, Physical

Correlating capacity fade with film resistance loss in fast charging of lithium-ion battery

Prashant Gargh et al.

Summary: The study shows that lithium plating damages the solid electrolyte interface but reforms during relaxation, causing impedance changes in batteries. Additionally, the measured capacity loss is linearly correlated with impedance changes, suggesting impedance monitoring can be used for predicting the health status of Li-ion batteries.

JOURNAL OF POWER SOURCES (2021)

Article Automation & Control Systems

Robotic Mobile Fulfillment Systems: A survey on recent developments and research opportunities

Italo Renan da Costa Barros et al.

Summary: This study aims to delve deeper into the application of autonomous mobile robots in warehouses, focusing on the development of new architectures and algorithms. By providing a comprehensive review of basic concepts of warehouse systems, methods for improving activities, and the latest research findings, future researchers are guided on understanding the operational principles and classifications of warehouse systems.

ROBOTICS AND AUTONOMOUS SYSTEMS (2021)

Article Economics

Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile

Le Zhang et al.

Summary: This study addresses the battery electric bus service and charging strategy problem using a tailored branch-and-price approach with set partitioning models and multi-label correcting methods. Experimental results show significant cost savings and improved scheduling efficiency for transit operators when implementing the optimization model.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2021)

Article Agriculture, Multidisciplinary

An evolutionary approach to robot scheduling in protected cultivation systems for uninterrupted and maximization of working time

Daniel Dooyum Uyeh et al.

Summary: Protected cultivation provides yearround crop production opportunities, but faces challenges such as labor shortages and battery charging difficulties for robots. To address the robot charging issue and maximize work time, we proposed a novel scheduling system that utilizes an evolutionary algorithm to efficiently manage robot operations between charging stations.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Thermodynamics

Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle

Bin Xu et al.

Summary: The study proposes a Q-learning-based strategy to reduce battery degradation and energy consumption in battery/ultracapacitor electric vehicles. Compared with a baseline vehicle without ultracapacitor, the Q-learning strategy is shown to slow down battery degradation by 13-20% and increase vehicle range by 1.5-2% during learning and validation driving cycles.

ENERGY (2021)

Article Engineering, Electrical & Electronic

Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station

Teng Zeng et al.

Summary: The study introduces an innovative optimization framework for charging stations, enhancing service accessibility through pricing policies and charge scheduling while considering human behavior. The model effectively captures drivers' charging decisions, leading to benefits in net profits, reduction in overstays, and improvement in service quality.

IEEE TRANSACTIONS ON SMART GRID (2021)

Review Nanoscience & Nanotechnology

Achieving high energy density and high power density with pseudocapacitive materials

Christopher Choi et al.

NATURE REVIEWS MATERIALS (2020)

Article Green & Sustainable Science & Technology

Optimal scheduling for electric bus fleets based on dynamic programming approach by considering battery capacity fade

Jing Wang et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)

Review Construction & Building Technology

On-site autonomous construction robots: Towards unsupervised building

Nathan Melenbrink et al.

AUTOMATION IN CONSTRUCTION (2020)

Review Engineering, Electrical & Electronic

A Review on Electric Vehicle Charging Infrastructure Development in the UK

Tianjin Chen et al.

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2020)

Article Transportation Science & Technology

Optimization of shared autonomous electric vehicles operations with charge scheduling and vehicle-to-grid

Riccardo Iacobucci et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Computer Science, Artificial Intelligence

Optimal cruiser-drone traffic enforcement under energy limitation

Ariel Rosenfeld et al.

ARTIFICIAL INTELLIGENCE (2019)

Article Computer Science, Information Systems

Modeling and Control of Underwater Mine Explorer Robot UX-1

Ramon A. Suarez Fernandez et al.

IEEE ACCESS (2019)

Review Energy & Fuels

Lithium-ion battery fast charging: A review

Anna Tomaszewska et al.

ETRANSPORTATION (2019)

Article Materials Science, Multidisciplinary

Disintegration of Meatball Electrodes for LiNi x Mn y Co z O2 Cathode Materials

R. Xu et al.

EXPERIMENTAL MECHANICS (2018)

Article Engineering, Electrical & Electronic

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

Bolun Xu et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Article Engineering, Electrical & Electronic

Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics

Hector Eduardo Perez et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Article Chemistry, Multidisciplinary

Comparative Research on RC Equivalent Circuit Models for Lithium-Ion Batteries of Electric Vehicles

Lijun Zhang et al.

APPLIED SCIENCES-BASEL (2017)

Article Engineering, Electrical & Electronic

An optimal solution for charging management of electric vehicles fleets

R. Mkahl et al.

ELECTRIC POWER SYSTEMS RESEARCH (2017)

Article Engineering, Electrical & Electronic

Coordinated Charging of Electric Vehicles for Congestion Prevention in the Distribution Grid

Junjie Hu et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Article Thermodynamics

Comparison study on the battery models used for the energy management of batteries in electric vehicles

Hongwen He et al.

ENERGY CONVERSION AND MANAGEMENT (2012)

Article Chemistry, Physical

Cycle-life model for graphite-LiFePO4 cells

John Wang et al.

JOURNAL OF POWER SOURCES (2011)

Article Engineering, Electrical & Electronic

Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments

Amir-Hamed Mohsenian-Rad et al.

IEEE TRANSACTIONS ON SMART GRID (2010)