Electric road systems (ERS)—infrastructure that allows for charging while driving—are currently considered in Sweden electrifying long-haul trucking. The technology can also charge battery electric passenger vehicles (BEVs). This study utilizes real-world car movement data and detailed spatial analysis to explore what extent ERS could displace stationary if it is available BEVs the expected ben...

Dynamic behavior analysis of electric motors is required in order to accurately evaluate the performance, energy consumption and pollution level of hybrid electric vehicles. Simulation tools for hybrid electric vehicles are divided into steady state and dynamic models. Tools with steady-state models are useful for system-level analysis whereas tools that utilize dynamic models give in-depth inf...

Battery swapping is a promising technology when compared with the traditional electric vehicle charging stations. The time spent at battery station might be similar to filling station. article presents information on attempts implement this solution, methods of swapping, infrastructure and operation stations, as well benefits key challenges technology.

Nowadays, the global trend of reducing exhaust emissions and increasing demand for clean energy sources have initiated development electric vehicles by many vehicle manufacturers. We are starting to encounter vehicles, whose mass production is relatively new, on roads more every day. Fire response methods, which one most common emergencies encountered in widely used, differently extinguishing a...

This paper presents an improved and easy-to-use battery dynamic model. The charge and the discharge dynamics of the battery model are validated experimentally with four batteries types. An interesting feature of this model is the simplicity to extract the dynamic model parameters from batteries datasheets. Only three points on the manufacturer’s discharge curve in steady state are required to o...

Electric vehicles have a relatively long charging time and a relatively short range. Estimating a vehicle’s consumption and range is therefore crucial. Range will depend on the average speed, top speeds, ascent and descent, battery temperature and battery condition. Judging the range of a vehicle is thus not a directly linear function of the distance to cover. This nonlinearity leads to mistrus...

LITHIUM-ION BATTERY MODELING for ELECTRIC VEHICLES and REGENERATIVE CELL TESTING PLATFORM Andishe Moshirvaziri Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2013 Electric Vehicles (EVs) have gained acceptance as low or zero emission means of transportation. This thesis deals with the design of a battery cell testing platform and Lithi...

Effective lithium-ion battery module modeling has become a bottleneck for full-size electric vehicle crash safety numerical simulation. Modeling every single cell in detail would be costly. However, computational accuracy could be lost if the module is modeled by using a simple bulk material or rigid body. To solve this critical engineering problem, a general method to establish a computational...

Battery state of health (SOH) monitoring has become a crucial challenge in hybrid electric vehicles (HEVs) and all electric vehicles (EVs) research, as SOH significantly affects the overall vehicle performance and life cycle. In this paper, we focus on the identification of Li-ion battery capacity fading, as the loss of capacity and therefore the driving range is a primary concern for EV and pl...

This paper proposes an improved fast charging strategy for electric vehicles (EVs) by considering available battery capacity. According to previous research and experiment reports, the energy capacity of batteries is not fixed, it can decrease temporarily depending on magnitude or discharging power. addresses decreased in proportion power which leads a reduction driving range. For effective pra...