Analysis Of Hybrid Electric Vehicles Research Articles

Design and Performance Analysis of Hybrid Electric Vehicles using Matlab/Simulink

In this paper introduces an integrated method for the design and performance analysis of hybrid electric vehicles. This method considers a set of parameters that influence the system's performance. This project presents an approach for modelling electric vehicles considering the vehicle dynamics, drive train, rotational wheel and load dynamics. The performance of the hybrid electric vehicle is not satisfactory owing to the difficulties of optimal gain selections. To overcome this problem, a new fuzzy logic controller is required to set the rules for better performance. Therefore, in this project fuzzy logic-based gain tuning method for PID controller is proposed and compared with some previous control techniques for the better performance of electric vehicles with an optimal balance of acceleration, speed, travelling range, improved controller quality and response. The model was developed in MATLAB/Simulink, simulations were conducted, and results were observed

Cost-effective analysis of hybrid electric vehicles charging station

Electric vehicles (EVs) are a very essential part of the automobile industry and play a vital role in the development of the economy of a country. Due to their eco-friendly nature and lower operating cost, EVs have acquired great attention globally. Almost all leading automobile manufacturers are developing cost-efficient EVs. However, with the increase in the number of EVs day by day, the need for efficient charging stations to deliver economical charging needs to be developed. To charge these EVs from the conventional grids is an additional burden on these grids as more electricity will be required to charge these EVs, which may result in incremental energy production as well as the energy cost for the general consumers. These days, increasing the number of EVs can bring sustainability problems in Pakistan as the considered country already facing the worst electrical energy crisis in the last ten years. For this purpose, we must require some alternate methods for charging the EVs charging to avoid overloading on existing grids. The use of renewable energy resources (RERs) is an effective solution to tackle this shortage of power. Therefore, in this paper, a cost-effective solution is proposed by hybridizing the different types of RERs to charge the EVs from the charging station. A different combination of RERs is used as case studies for a specific area of Pakistan named Kallar Kahar. Simulation is performed on MATLAB/Simulink and energy cost is being compared for different case studies. The proposed hybrid power system used approximately 50% wind, 40% solar, and 10% biogas as RERs. The results show that case 4 is best among all which provides yearly power production of 375,220 kWh at a net annual cost of 43,174.06$/year while the net annual cost to provide the same power with the grid is 59,304$/year. There is a 1.37% reduction in the overall annual cost of the proposed charging station as compared to the utility grid.

Optimal Scheduling and Economic Analysis of Hybrid Electric Vehicles in a Microgrid

Abstract A projected high penetration of electric vehicles (EVs) in the electricity market will introduce an additional load in the grid. The foremost concern of EV owners is to reduce charging expenditure during real-time pricing. This paper presents an optimal charging schedule of the electric vehicle with the objective to minimize the charging cost and charging time. The allocation of EVs should satisfy constraints related to charging stations (CSs) status. The results obtained are compared with the two conventional algorithms and other charging algorithms: Arrival time-based priority algorithm (ATP) and SOC based priority algorithm (SPB), Particle Swarm Optimization (PSO) and Shuffled Frog Leaping Algorithm (SFLA). Also, the CS is powered by the main grid and the microgrid available in the CSs. The EVs charging schedule and the economic analysis is done for two cases: (i) With Grid only (ii) With Combined Grid & microgrid. The load shifting of EVs is done based on the grid pricing and the results obtained are compared with the other cases mentioned.

A retail and lifecycle cost analysis of hybrid electric vehicles

This paper analyzes the manufacturing costs, retail prices, and lifecycle costs of five hybrid gasoline-electric vehicle types in high-volume production. Updating and major modifications are made to a detailed motor vehicle retail and lifecycle cost spreadsheet model that had previously been used to analyze the costs of conventional vehicles, electric-drive vehicles, and other alternative-fuel vehicles. This cost model is combined with a hybrid vehicle design and performance analysis using the ADVISOR vehicle simulation model. Five hybrid vehicle designs were examined for each vehicle type, for a total of 25 hybrid vehicle cases and a set of five baseline gasoline vehicles for comparison. It is found under various assumptions that combining the advanced package of vehicle improvements with mild vehicle hybridization provides the least-cost the hybrid vehicle option, with lifecycle costs very close to those of the baseline vehicles even using the relatively low historical gasoline price of $1.46 per gallon. However, with recent higher gasoline prices then many of the more fuel efficient, but costlier, hybrid vehicle designs become competitive from a lifecycle cost perspective.