Cover Image

A Data-Driven Approach for Electric Vehicle Powertrain Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ipek, Eymen, Hirz, Mario
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Impact of Physics-Informed Features on Neural Network Complexity for Li-ion Battery Voltage Prediction in Electric Vertical Takeoff and Landing Aircrafts
by: Ipek, Eymen, et al.
Published: (2026)

Evaluating the Exp-Minus-Log Sheffer Operator for Battery Characterization
by: Ipek, Eymen
Published: (2026)

Hardware-Efficient Neuro-Symbolic Networks with the Exp-Minus-Log Operator
by: Ipek, Eymen
Published: (2026)

Co-optimization of Vehicle Dynamics and Powertrain Management for Connected and Automated Electric Vehicles
by: Li, Zongtan, et al.
Published: (2024)

Concurrent Design Optimization of Powertrain Component Modules in a Family of Electric Vehicles
by: Clemente, Maurizio, et al.
Published: (2023)

Eco-Driving Control for Electric Vehicles with Multi-Speed Transmission: Optimizing Vehicle Speed and Powertrain Operation in Dynamic Environments
by: He, Suiyi, et al.
Published: (2026)

Safe or Slow? The Illusion of Thermal Stability Under Reduced-Velocity Nail Intrusion
by: Ipek, Eymen, et al.
Published: (2026)

Two-dimensional Spatial Optimization for Electric Motorcycle Powertrain Elements using Mixed-integer Programming
by: van Kampen, Jorn, et al.
Published: (2025)

Two-wheel-driven Electric Superbike Powertrain Optimization
by: Niccolai, Adelmo, et al.
Published: (2025)

Electric Vehicle Charging Profile Forecasting Using Hybrid Models
by: Ramaschi, Riccardo, et al.
Published: (2026)

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model
by: Liu, Yiping, et al.
Published: (2026)

Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2025)

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)

Data-Driven Robust Optimization for Energy-Aware Safe Motion Planning of Electric Vehicles
by: Kumari, Simran, et al.
Published: (2023)

Data-Driven Personalized Energy Consumption Range Estimation for Plug-in Hybrid Electric Vehicles in Urban Traffic
by: Ozkan, Mehmet Fatih, et al.
Published: (2024)

A Blotto Game Approach to Ride-hailing Markets with Electric Vehicles
by: Maljkovic, Marko, et al.
Published: (2024)

Battery Discharge Modeling for Electric Vehicles: A Hybrid Physics-based Residual Learning Approach
by: Aryasomayajula, Praharshitha, et al.
Published: (2026)

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)

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

Geometric Scaling Laws for Axial Flux Permanent Magnet Motors in In-Wheel Powertrain Topologies
by: Borsboom, Olaf, et al.
Published: (2024)

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

Application of Data-Driven Model Predictive Control for Autonomous Vehicle Steering
by: Zhang, Jiarui, 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 Adoption Modeling in France: A Systematic Literature Review
by: Widiawati, Karsi, et al.
Published: (2024)

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

A Comprehensive Incremental and Ensemble Learning Approach for Forecasting Individual Electric Vehicle Charging Parameters
by: Alikhani, Parnian, et al.
Published: (2025)

Event-Driven Real-Time Multi-Objective Charging Schedule Optimization For Electric Vehicle Fleets
by: Raja, Jose Peeterson Emerson, et al.
Published: (2024)

Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach
by: Hajidavalloo, Mohammad R., et al.
Published: (2025)

Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach
by: Zieglmeier, Sebastian, et al.
Published: (2025)

Predictive Energy Management for Battery Electric Vehicles with Hybrid Models
by: Huang, Yu-Wen, et al.
Published: (2024)

Modeling and Simulation of a Fully Autonomous Electric Vehicle (AEV)
by: Ajao, Qasim, et al.
Published: (2024)

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)

Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities
by: Lin, Xiachong, et al.
Published: (2025)

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

On Optimal Battery Sizing for Electric Vehicles
by: Wieberneit, Felix, et al.
Published: (2024)

Nonlinear Optimal Control for a Flywheel and Battery‐Based Powertrain of Electric Vehicles
by: Gerasimos Rigatos, et al.
Published: (2025)

Diagnosis-Driven Co-planning of Network Reinforcement and BESS for Distribution Grid with High Penetration of Electric Vehicles
by: Fang, Linhan, et al.
Published: (2026)

Community-to-Vehicle: Integrating Electric Vehicles into Energy Communities -- A Swiss Case Study
by: Li, Na, et al.
Published: (2026)

A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control
by: Wang, Pin, et al.
Published: (2019)