Cover Image

Event-Driven Real-Time Multi-Objective Charging Schedule Optimization For Electric Vehicle Fleets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raja, Jose Peeterson Emerson, Easwaran, Arvind
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Managing Charging Induced Grid Stress and Battery Degradation in Electric Taxi Fleets
by: Yuhas, Michael, et al.
Published: (2025)

Resource-Oriented Optimization of Electric Vehicle Systems: A Data-Driven Survey on Charging Infrastructure, Scheduling, and Fleet Management
by: Wang, Hai, et al.
Published: (2025)

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
by: Luke, Justin, et al.
Published: (2021)

Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes
by: Yap, Jun Kang, et al.
Published: (2025)

Rollout-Based Charging Scheduling for Electric Truck Fleets in Large Transportation Networks
by: Bai, Ting, et al.
Published: (2026)

Bilevel Optimization for Improved Flexibility Aggregation Models of Electric Vehicle Fleets
by: Härtel, Philipp, et al.
Published: (2025)

Current Practices in Electricy Demand and Charging Scheduling for On-Road Electric Fleet Operations: An Industry-Wide Review
by: Commandeur, Joost, et al.
Published: (2026)

Beyond Profit: A Multi-Objective Framework for Electric Vehicle Charging Station Operations
by: Wang, Shuoyao, et al.
Published: (2024)

Coordinated Battery Electric Vehicle Charging Scheduling across Multiple Charging Stations
by: Mehrnia, Saman, et al.
Published: (2025)

Congestion Forecasting for Electric Vehicle Charging Scheduling with Fluid Queues
by: Kahlert, Joas, et al.
Published: (2026)

Methods for Mitigating Uncertainty in Real-Time Operations of a Connected Microgrid
by: Panda, Subrat Prasad, et al.
Published: (2024)

Dynamics and Optimization in Spatially Distributed Electrical Vehicle Charging
by: Paganini, Fernando, et al.
Published: (2024)

Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach
by: Amrani, Sabri El, et al.
Published: (2025)

Electric Vehicle Charge Scheduling on Highway Networks from an Aggregate Cost Perspective
by: Anderson, Sean, et al.
Published: (2019)

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets
by: Maljkovic, Marko, et al.
Published: (2022)

A novel load distribution strategy for aggregators using IoT-enabled mobile devices
by: Shivaraman, Nitin, et al.
Published: (2024)

Reachable-Set Decomposition for Real-Time Aggregation of Multi-Zone HVAC Fleets
by: Liu, Jingguan, et al.
Published: (2026)

Enabling Intelligent Bidirectional Charging: A Real-World Communication Interface Between Electric Vehicles, Charging Infrastructure, and a Control Optimizer
by: Wang, Shangqing, et al.
Published: (2026)

Integrated Modeling and Forecasting of Electric Vehicles Charging Profiles Based on Real Data
by: Ramos-Leaños, Octavio, et al.
Published: (2024)

PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems
by: Wu, Taoran, et al.
Published: (2025)

Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization
by: Wu, Taoran, et al.
Published: (2025)

Flexible Electric Vehicle Charging with Karma
by: Elokda, Ezzat, et al.
Published: (2026)

Electric Vehicle Fleet and Charging Infrastructure Planning
by: Varma, Sushil Mahavir, et al.
Published: (2023)

A Game-Theoretic Decentralized Real-Time Control of Electric Vehicle Charging Stations - Part I: Incentive Design
by: Ramaschi, Riccardo, et al.
Published: (2026)

A Game-Theoretic Decentralized Real-Time Control of Electric Vehicle Charging Stations - Part II: Numerical Simulations
by: Ramaschi, Riccardo, et al.
Published: (2026)

Advancements in Electric Vehicle Charging Optimization: A Survey of Reinforcement Learning Approaches
by: Shokati, Mehrshad, et al.
Published: (2024)

Grid-ECO: Grid Aware Electric Vehicle Charging Stations Placement Optimizer
by: Panthee, Bikram, et al.
Published: (2026)

From Range Loss to Recovery -- Cold Weather Challenges and Design Strategies for Commercial Electric Vehicle Fleets
by: Ghosh, Soham, et al.
Published: (2025)

Multi-Day Scheduling for Electric Vehicle Routing: A Novel Model and Comparison Of Metaheuristics
by: Köster, Dominik, et al.
Published: (2025)

Fault-Aware MPC for Robotic Fleet Communications Scheduling
by: Schreiber, Carlo, et al.
Published: (2026)

Scalable Optimization for Mobility-Aware Coordinated Electric Vehicle Charging in Distribution Power Networks
by: Ju, Yi, et al.
Published: (2026)

Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis
by: Sanami, Saba, et al.
Published: (2025)

Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design
by: Paparella, Fabio, et al.
Published: (2024)

Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
by: Gu, Chengyang, et al.
Published: (2024)

Fleet Size and Mix Capacitated Vehicle Routing Problem with Time Windows for Mobile Fast Chargers
by: Araghi, Farhang Motallebi, et al.
Published: (2025)

An Exact Solution Algorithm for the Bi-Level Optimization Problem of Electric Vehicles Charging Station Placement
by: Nankali, Mobina, et al.
Published: (2025)

A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction
by: Aryasomayajula, Praharshitha, et al.
Published: (2025)

Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options
by: Duc, Tran Trung, et al.
Published: (2025)

Joint Optimization of Multimodal Transit Frequency and Shared Autonomous Vehicle Fleet Size with Hybrid Metaheuristic and Nonlinear Programming
by: Ng, Max T. M., et al.
Published: (2024)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
by: Zheng, Xinda, et al.
Published: (2025)