Object-oriented mathematical modeling for estimating electric vehicle’s range using modelica

Electric vehicles (EVs) offer a great alternative for decarbonizing the transport sector. However, insufficient recharging infrastructure and limited range increase the driver’s ‘range anxiety’. Furthermore, the autonomy information provided by vehicle manufacturers differs from the range obtained u...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8901
Acceso en línea:
https://hdl.handle.net/20.500.12585/8901
Palabra clave:
Electric vehicles
Library
Modelica
Modeling
Range
Automobile manufacture
Commercial vehicles
Electric vehicles
Energy utilization
Estimation
Libraries
Models
Computational model
Electric Vehicles (EVs)
Modelica
Modeling and simulating
Object-oriented modeling languages
Range
Specification sheets
Vehicle manufacturers
Modeling languages
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Electric vehicles (EVs) offer a great alternative for decarbonizing the transport sector. However, insufficient recharging infrastructure and limited range increase the driver’s ‘range anxiety’. Furthermore, the autonomy information provided by vehicle manufacturers differs from the range obtained under real-driving conditions. In order to estimate the actual range of an EV under different driving profiles, accurate computational modeling is required. This paper presents a library for modeling and simulating EVs using the object-oriented modeling language Modelica that allows calculating the energy consumption and the impact of different driving behaviors on the vehicle’s driving range. Each vehicle’s model only requires generic parameters that can be obtained from the vehicle’s manufacturer’s specification sheet. The parameters of the example models have been calibrated using vehicle parameters found in the literature for several commercial vehicles. © Springer Nature Switzerland AG 2018.