A5103251366- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
- Advanced Control Systems Optimization
- Advancements in Battery Materials
- Control Systems and Identification
- Vehicle emissions and performance
- Flexible and Reconfigurable Manufacturing Systems
- Building Energy and Comfort Optimization
- Fault Detection and Control Systems
- Digital Transformation in Industry
- Building materials and conservation
- Traffic Prediction and Management Techniques
- Conservation Techniques and Studies
- Model Reduction and Neural Networks
- Technology Assessment and Management
- Advanced battery technologies research
Universidad de Sevilla
2020
Ghent University
2012-2013
Reducing greenhouse emissions can be done via the electrification of transport industry. However, there are challenges related to such as lifetime vehicle batteries well limitations on charging possibilities. To cope with some these challenges, a charge scheduling method for fleets electric vehicles is presented. Such assigns moments (i.e., schedules) that have more than chargers. While doing assignation, also maximizes total Remaining Useful Life (RUL) all batteries. The consists two...
The electrification of the transportation industry has emerged as a promising solution to reduce automotive emissions. However, this transition presents various challenges, such limited availability charging infrastructure, grid capacity, and high total cost ownership for Battery Electric Vehicles (BEVs), primarily due battery. This study proposes an algorithm that generates schedules fleet BEVs during their operational period address these challenges. provides time frame power all vehicles...
This paper introduces an advanced digital twin (DT) framework for electric truck, which consists of a universal multi-layer DT architecture and multi-disciplinary AVL software suites. The proposed can realize all functionalities conducted within key spaces in generic concept: physical space, communication channel data fusion, space. A workflow management platform are introduced to generate, operate, calibrate, run DTs. Furthermore, pre-DT model energy consumption estimation is developed...
Range anxiety is one of the barriers for customer acceptance Battery Electric Vehicles (BEVs). To cope with this limitation, paper presents a Predictive Energy Management System (PEMS) that can reduce total battery energy consumption by using available up-coming route information such as traffic flow, speed limits and road slope. The developed PEMS contains two optimization layers: first layer generates profile upcoming minimizes driving energy, while simultaneously controlling average...
This paper investigates the performance of two Multivariable Model Predictive Control (MPC) strategies: selfish and solidary. These strategies are based on main ideas developed in EPSAC (Extended Prediction Self-Adaptive Control) approach to MPC. A degree freedom (2DOF) helicopter simulation has been chosen illustrate these concepts, as it represents a complicated challenging problem due strong intercoupling effects, non-linear dynamics uncertainties system model. The obtained with Linear...
The electrification of the transport industry is rapidly becoming a solution to mitigate greenhouse emissions problem. However, this faces multiple challenges related higher operational cost and limited charging capacity. To cope with these challenges, within European project URBANIZED, an optimization algorithm has been developed determine schedules (i.e., current vs time) for electric vehicle fleets. exploits benefits adding Battery Storage System (BSS) infrastructure. minimizes economical...
Lithium-ion batteries are currently a viable alternative as energy source in vehicles, instead of fossil fuels. However, the usage such faces multiple challenges long charging time and faster degradation. To mitigate these challenges, this paper presents strategy based on Physics-Based Models (PBMs). PBMs can capture calendar cyclic degradation effects, by modelling lithium plating SEI growth. Simulation results show that approach reduces compared to common strategies. Additionally,...