Modeling for Segmented Tracks Planning of Roadway-Powered Electric Vehicles

2013 ◽  
Vol 385-386 ◽  
pp. 1159-1163
Author(s):  
Yong Tian ◽  
Bi Zhong Xia ◽  
Yue Sun ◽  
Zhi Hui Xu ◽  
Wei Sun

Electric vehicle has aroused peoples concern with soaring energy crisis and environmental degradation. However, it has not been widely used due to some drawbacks, such as the short driving range, long charging time, frequent charging requirements and high price. In order to solve these problems, the roadway-powered electric vehicles (RPEVs) based on an inductive power transfer (IPT) has been proposed. In the segmented RPEVs system, efficiency and annual cost are affected by the track distance, tracks interval, number of tracks and installed capacity of each track, etc. Aiming to such problem, the nonlinear programming (NLP) model for segmented tracks planning of RPEVs system is studied in this paper. Meanwhile, the relationship between the system efficiency and the number of loads is analyzed as a cogent argument to the application of segmented tracks.

2011 ◽  
Vol 308-310 ◽  
pp. 217-223 ◽  
Author(s):  
Zhen Po Wang ◽  
Hai Bin Han ◽  
Lu Zeng

The short driving range and long charging time are two big problems for electric vehicles. A concept of battery pack automatic replacement is put forward in this paper to solve these problems, and a deep research on the key techniques is contained. This paper introduced the way of positioning and locking in replacement process, including the concrete structure of both replacing equipment and battery pack. For reliability problems of the connectors, two schemes are designed. Elastic jacks and coil are adopted to guarantee the reliability and automatically centering. On this basis, battery fast replacing system is designed, which controlled by PLC, driven by electro-hydraulic servo. This was proved to be a big success in practice.


2021 ◽  
Author(s):  
Atif Iqbal ◽  
Mohammed Al-Hitmi ◽  
Kiran Pandav

The proposed fast-charging system is capable of simultaneously charging the three different duty electric vehicles (small, medium, heavy) at the same time. The size and weight of the proposed system are reduced by operating at a higher switching frequency. The load (battery) dependency and system efficiency are eliminated and improved, respectively, by adopting the series-series compensation network in the proposed system. The CC-CV charging algorithm is adopted to charge the battery and PI controller, and the additional controlling loop is developed to remove the overshoot of the current during the CC to CV transition.


2018 ◽  
Vol 5 (01) ◽  
Author(s):  
Shukrant Jagotra ◽  
Deepika Kamboj

Electric vehicles (EVs) are the biggest disruption the automotive industry has witnessed in several past decades and are expected to play a wider role in the global vehicle industry going forward. The study reviews existing literature to identify certain drivers such as zero emissions, low operational and maintenance costs and barriers around low range, less matured charging infrastructure and high price. To expedite EVs adoption by tackling these barriers, players across the EV value chain need to focus on certain practical considerations. Power utilities need to stress on building charging infrastructure, planning renewable capacity additions and reducing charging time. While for automakers, focusing on increasing investments in R and D leading to better range and lower costs, developing or acquiring EV expertise, raising awareness among others may increase EV penetration. The study also explores several areas of strategic partnership between them.


Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2004
Author(s):  
Mariusz Izdebski ◽  
Marianna Jacyna

The article deals with the decision problems of estimating the energy expenditure of low-emission fleets in urban service companies due to environmental safety. One of the most important problems of today’s transport policy of many city authorities is the ecological safety of its inhabitants. The basic measures are aimed at banning high-emission vehicles from city centers and promoting the introduction of zero-emission vehicles, such as electric or hybrid cars. The authors proposed an original approach to the decision model, in which the energy expenditure from the use of electric vehicles was defined as a criterion function. The boundary conditions took into account limitations typical of an electric vehicle, e.g., maximum range or battery charging time. To solve the problem, the authors proposed an efficient hybrid algorithm based on ant colony algorithm and genetic algorithm. The verification was made for the example of a utility company serving a medium-sized city in the eastern part of Poland.


Author(s):  
Seho Kim ◽  
Maedeh Amirapour ◽  
Tharindu Dharmakeerthi ◽  
Vahid Zahiri Barsari ◽  
Grant A. Covic ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Qingshan Xu ◽  
Yujun Liu ◽  
Maosheng Ding ◽  
Pingliang Zeng ◽  
Wei Pan

Electric vehicles (EVs) are developing remarkably fast these years which makes the technology of vehicle-to-grid (V2G) easier to implement. Peak load shifting (PLS) is an important part of V2G service. A model of EVs’ capacity in V2G service is proposed for the research on PLS in this paper. The capacity is valued in accordance with three types of situations. Based on the model, three different scenarios are suggested in order to evaluate the capacity with MATLAB. The evaluation results indicate that EVs can provide potential energy to participate in PLS. Then, the principle of PLS with EVs is researched through the analysis of the relationship between their power and capacity. The performance of EVs in PLS is also simulated. The comparison of two simulation results shows that EVs can fulfill the request of PLS without intensely lowering their capacity level.


2015 ◽  
Vol 1115 ◽  
pp. 531-534
Author(s):  
Siti Fauziah Toha

It is well known that the main constraint of electric vehicles (EVs) is the capabilities to supply efficient energy for driving-range that is comparable to petrol fueled vehicles. Moreover, a large number of batteries needed for EV contribute to heavy weight, poor durability and pricy total cost. In view of that, the need to prolong the battery lifetime, and use its full capacity, is of utmost importance. Therefore, an accurate battery model is a challenging first step to the overall problem soving chain. This paper presents a transfer function model prediction with nature-inspired approach for a Lithium iron phosphate battery. An Ant Colony Optimisation technique is used in search for accurate model with robust capability to adapt with different input current based on the New European Driving Cycle (NEDC) range. The model is further validated with autocorrelation and cross-correlation test and it is proven to give an error tolerance between the 95% confidence limit.


Sign in / Sign up

Export Citation Format

Share Document