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...

This paper reviews and analyzes the current and future battery technologies suitable for transportation applications. The success of battery-enabled hybridization of gasoline and diesel power-trains in the past decade has clearly established it as the most credible alternative to the conventional propulsion systems. The current enthusiasm for electric vehicles further accentuates this success. ...

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...

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...

As a clean energy technology, the development of electric vehicles (EVs) is challenged by lightweight design, battery safety, and range. In this study, our simulations indicate that using a flexible structure of battery module has the potential to overcome the limitations in battery-powered EVs, contributing to a new design. Specifically, we focus on optimizing the structure of vehicle battery ...

This paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting different weighed coefficients, a battery pack SOC estimation algorithm is established based on the sing...