Canals-Casals L.,Polytechnic University of Catalonia |
Amante-Garcia B.,Polytechnic University of Catalonia |
Castella-Daga S.,Centro Tecnico SEAT
Dyna (Spain) | Year: 2016
The electric vehicle is steadily entering into the automotive market. Most of these vehicles are equipped with Li-ion batteries to store the electric energy. Despite of the fast charge and the autonomy range, one of the major concerns of car manufacturers and users refers to the battery ageing. Similarly to laptops and mobile phones, the batteries from electric vehicles performance reduces through its lifetime. This is the reason why car manufacturers defined the end-of-life of a battery for automotive purposes when it has lost a 20% of its capacity to store energy.This study analyzes the battery ageing of a Plug-in Hybrid electric vehicle. It presents some factors that impact on the capacity fade, some of the effects they have on the battery energy loss caused by ageing and how the energy loss is distributed. Moreover, the driver's perception of the battery ageing will be evaluated and how the battery transmits these performance losses to the rest of components in the vehicle.In fact, it has been observed that the capacity fade is transmitted almost entirely, similarly to the loss of energy and power caused by the internal resistance increase. However, the incertitude brought by external factors, such as climatology, brake energy recovery or the driving conditions, makes it really difficult for the driver to perceive this battery degradation before it reaches the end-of-life. © 2016. Publicaciones DYNA S.L.
Mantaras D.A.,University of Oviedo |
Luque P.,University of Oviedo |
Nava J.A.,University of Oviedo |
Riva P.,Centro Tecnico Seat |
And 3 more authors.
Vehicle System Dynamics | Year: 2013
A key factor to understand the vehicle dynamic behaviour is to know as accurately as possible the interaction that occurs between the tyre and the road, since it depends on many factors that influence the dynamic response of the vehicle. This paper aims to develop a methodology in order to characterise the tyre-road behaviour, applying it to obtain the tyre-road grip coefficient. This methodology is based on the use of dynamic simulation of a virtual model, integrated into a genetic algorithm that identifies the tyre-road friction coefficient in order to adjust the response obtained by simulation to real data. The numerical model was developed in collaboration with SEAT Technical Centre and it was implemented in multibody dynamic simulation software Adams®, from MSC®. © 2013 Taylor & Francis.