Electric vehicle charging modes, technologies and applications of smart charging
The rise of the intelligent, local charging facilitation and environmentally friendly aspects of
electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still …
electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still …
An energy aware offloading scheme for interdependent applications in software-defined IoV with fog computing architecture
The Internet of Vehicles (IoV) is one important application scenarios for the development of
the Internet of things. The software-defined network (SDN) and fog computing could …
the Internet of things. The software-defined network (SDN) and fog computing could …
Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance
Identifying energy-efficient routes in real-time has significant implications for the energy-
optimal operations of electric vehicles (EVs). This study proposes a novel model for EV …
optimal operations of electric vehicles (EVs). This study proposes a novel model for EV …
The electric vehicle traveling salesman problem on digital elevation models for traffic-aware urban logistics
Y Ahsini, P Díaz-Masa, B Inglés, A Rubio, A Martínez… - Algorithms, 2023 - mdpi.com
With the increasing demand for online shop** and home delivery services, optimizing the
routing of electric delivery vehicles in urban areas is crucial to reduce environmental …
routing of electric delivery vehicles in urban areas is crucial to reduce environmental …
Path planning for EVs based on RA-RRT* model
S Muhammad, Y Zhou - Frontiers in Energy Research, 2023 - frontiersin.org
The optimal path planning for EVs (electric vehicles) has gained great attention during the
last decade due to the zero pollution emission characteristics and limited power capacity of …
last decade due to the zero pollution emission characteristics and limited power capacity of …
An enhanced path planner for electric vehicles considering user-defined time windows and preferences
A number of decision support tools facilitating the use of Electric Vehicles (EVs) have been
recently developed. Due to the EVs' limited autonomy, routing and path planning are the …
recently developed. Due to the EVs' limited autonomy, routing and path planning are the …
Test-data generation and integration for long-distance e-vehicle routing
Advanced route planning algorithms are one of the key enabling technologies for emerging
electric and autonomous mobility. Large realistic data sets are needed to test such …
electric and autonomous mobility. Large realistic data sets are needed to test such …
Robustness generalizations of the shortest feasible path problem for electric vehicles
Electric Vehicle routing is often modeled as a Shortest Feasible Path Problem (SFPP), which
minimizes total travel time while maintaining a non-zero State of Charge (SoC) along the …
minimizes total travel time while maintaining a non-zero State of Charge (SoC) along the …
A Hybrid Solution Approach for Electric Vehicle Routing Problem with Soft Time-Windows
An electric vehicle routing problem (EVRP) with time windows is carried out using a hybrid
algorithm. Through the modeling of problem, not only the energy consumptions and the …
algorithm. Through the modeling of problem, not only the energy consumptions and the …
Route and charging planning for electric vehicles: a multi-objective approach
Electric vehicle (EV) travel planning is a complex task that involves optimizing both the
routes and the charging sessions for EVs. Existing algorithms rely on single-objective …
routes and the charging sessions for EVs. Existing algorithms rely on single-objective …