| Abstract |
Smart cities act as an essential tool in providing adequate supplies in the world of urbanization and increasing population. To improve the quality of living, development of social and economic life, smart cities play a vital role. Integration of infrastructure, essential goods together in a single place by keeping track of security system as well, Smart cities are a boon to mankind. The use of Electric vehicles (EVs) in the transportation industry acts as one of the primers in the development of smart cities. They run on battery or solar energy in addition to the motors that make them friendly for the environment. But range and energy of these vehicles are limited. Efficient use of energy is an important parameter for these vehicles. Monitoring of different parts and parameters affecting EV performance is done. For this purpose, different methods are used. This chapter aims to improve the rapidly going transportation industries by involving Electric Vehicles and keeping track of the range of electric vehicles, considering parameters such as state of charge (SOC) of battery, acceleration of vehicle, and power consumption of the vehicle. The fuzzy logic classifier is used for estimating the range that can be used for research work in many places. In this method battery state, power used by the vehicle, acceleration of the vehicle is considered as inputs. Study shows that the range of the vehicle gets impacted to a large extent by decreasing the charging of the battery. Thus, SOC plays an important role in estimating the range of EV. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
