| Author | Akasapu, Jyothi Srinivas |
| Call Number | AIT RSPR no.ET-19-06 |
| Subject(s) | Electric vehicles--Batteries
|
| Note | A research study submitted in partial fulfillment of the requirements for the
degree of Master of Engineering in
Energy, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ET-19-06 |
| Abstract | The usage of Electric Vehicles(EVs) is increasing up day by day due to increasing concern for the global warming and air pollution. However, the range anxiety is one of the main concern among several others regarding Electric Vehicles. The main reasons of range anxiety are longer recharging time, very limited availability of charging stations, unlike gasoline stations, and insufficient battery pack sizes due to high cost. In addition, EVs have different fuel economy characteristics at different speeds. So, at low State-of-Charge (SoC) of the battery, EV drivers can faces challenges to arrive at destinations, e.g., next battery charging stations and/or homes. In other words, at particular SoC level or with the available battery power, EV drivers may wish to travel the maximum distance to reach the destination or to have few stops while they are on long road trip.
Therefore, this study aims to estimate the optimum speed of EV to enable them to travel the targeted distances in order to overcome aforementioned range anxiety problem. For the first objective of this study, the EV is assumed to start from rest position and accelerates to a constant speed and travels at that constant speed until complete discharge of battery energy. The distance travelled by EV from rest position to complete battery discharge is noted and this process is repeated at another constant speed. This analysis is done for speeds from 140 km/hr to 10 km/hr, and at various battery state of charge levels from 100% SoC to 30% SoC. The speed which corresponds to maximum travelled distance is taken as optimum speed. The optimum speed at various state of charge levels is determined and graphs are plotted with the obtained travelled distance at various speeds.The output from first objective is the determination of optimum speed as 34 kmph and found that at any State of Charge optimum speed is constant.
The second objective of this study has two scenarios. The first scenario assumes that initially EV is in rest position, and the targeted distance to be traveled by EV and the desired acceleration and maximum speed are given as inputs, while the maximum speed to reach the given distance will be the output. In the second scenario, the EV is initially assumed to be moving at some initial velocity and the distance expected to be travelled by EV, desired acceleration, desired deceleration and the speed at which the driver wants to travel are given as inputs, while the maximum speed to reach the given distance will be the output.
In third objective, the maximum number of times EV can stop-and-go before reaching the destination is determined. The output of third objective is the graph showing variation of number of times EV can stop-and-go with variation of travel distance and battery state of charge(SoC).
This solution approach does not require to increase battery packs or any other components except just need to determine and store some estimated options in terms of appropriate EV speed vs. targeted distances to be traveled at different SoC levels, and whenever prevailing circumstances comes then EV drivers can use it. |
| Year | 2019 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ET-19-06 |
| Type | Research Study Project Report (RSPR) |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Singh, Jai Govind; |
| Examination Committee(s) | Kumar, Sivanappan;Weerakorn Ongsakul; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2019 |