scholarly journals Optimizing braking energy flow through charging status surface expansion

2020 ◽  
Vol 41 (1) ◽  
Author(s):  
Ivan Župan ◽  
Marko Lelas ◽  
Željko Ban ◽  
Viktor Šunde
Keyword(s):  
Energy Efficiency ◽  
Energy Storage ◽  
Energy Flow ◽  
Energy Savings ◽  
Storage System ◽  
Energy Storage System ◽  
Regenerative Braking ◽  
Railway Vehicles ◽  
Braking System ◽  
Electric Railway

Energy savings in electric railway transportation is essential due to the ever-rising energy cost and endeavour to reduce climate change impact. A valuable method to increase energy efficiency is to recuperate and consenquently utilize the regenerative braking energy of electric railway vehicles. The system that stores and reuses the braking energy is called a regenerative braking system, consisting of an energy storage system (ESS), a birdirectional power converter, and a control system, which includes an algorithm controlling the braking energy flow. A properly designed algorithm increases energy efficiency, lessens the stress on the power grid, increases the lifetime of the energy storage system, and enables a catenary-free operation of the electric railway vehicle. The algorithm is defined by combining two algorithms with opposite features – maximum energy savings and minimal number of cycles. The algorithm is then synthesized from those two criteria using an optimization process and then simulated while its effect on energy savings and grid stability is analyzed. Energy savings and a more stable grid are achieved with the use of the algorithm, which corroborates the inclusion of a regenerative braking system in electric railway vehicles.

scholarly journals Design of Hybrid Controller for PV sourced Electric Vehicle with Hybrid Energy Storage System using Regenerative braking

2020 ◽  
Vol 10 (1) ◽  
pp. 101-106
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Sources ◽  
Regenerative Braking ◽  
Battery Life ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Braking System

Electric vehicles (EVs) enabled by high efficiency electric motors and controllers and powered by alternative energy sources provide the means for a clean, efficient, and environmentally friendly system. The power demanded by an EV is very variable. Hence HESS (Hybrid energy storage system) as an alternative source have been investigated with the objective of improving the storage of electrical energy. In these systems, two (or more) energy sources work together to create a superior device in comparison with a single source. In batteries and ultra-capacitors have complementary characteristics that make them attractive for a hybrid energy storage system. But the result of this combination is fundamentally related to how the sources are interconnect and controlled. Hybrid Electric Vehicle (HEV) is the most advance technology in automobile industries but long drive range in HEV is still a problem due to limited battery life. For increasing of battery life, two methods are widely used in HEV; one is with fuzzy logic-based battery management strategy and second is through improvement in regenerative braking system. Regenerative braking system used in HEV is to give backup power in deceleration mode which not only make HEV to drive longer but also increase the battery life cycle by charging of ultra-capacitor. The present work is for controlling the source of the motor present in the EV during different driving load conditions and storage of energy by implementing regenerative braking. In the proposed control action, motor speed plays a major role in switch the energy sources in HESS. To attain the objective, another controller has been designed with four math functions corresponding to the speed of the motor termed as Math Function Based (MFB) controller. The MFB controller works based on the motor’s speed and this controller creates the closed loop operation of the overall system with smooth operation between the energy sources. Thereafter the designed MFB controller combined with a Fuzzy Logic controller applied to the entire circuit at different load conditions. In the same way, MFB with Artificial Neural Network controller also applied to the circuit. Finally, comparative analysis has been done between two controllers. The motor has been applied with 6 different types of load and simulated. The MATLAB results of MFB with FLC and MFB with ANN has been attained and compared, discussed.

Study on Optimization of Pressure Ratio Distribution in Multistage Compressed Air Energy Storage System

2018 ◽  
Author(s):  
Shang Chen ◽  
Tong Zhu ◽  
Huayu Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Storage ◽  
Pressure Ratio ◽  
Storage System ◽  
System Optimization ◽  
Energy Storage System ◽  
Compressed Air ◽  
System Efficiency ◽  
Compressed Air Energy Storage ◽  
Ratio Distribution

Compressed air energy storage is an effective energy storage technology to solve the instability of wind power in distributed energy resources. In this paper, a multistage compressed air energy storage system optimization model is constructed based on the energy conservation equation. Then the system is optimized by differential evolution to improve the system efficiency. Optimal pressure ratios are proposed to distribute the pressures of compressors and expanders. The impact of pressure ratio distribution curve on the system energy efficiency suggests that the change curve of the characteristics vary in different heat exchanger performance. Results show that the change of thermal transfer reactor performance leads to the variety of optimal distribution pressure ratio and energy efficiency of the system. In addition, the differential ratio distribution factor can be effective on the pressure ratio of reasonable allocation. System efficiency optimization results increased by about 1% compared mean value.

Stationary super-capacitor energy storage system to save regenerative braking energy in a metro line

2012 ◽  
Vol 56 ◽  
pp. 206-214 ◽  
Author(s):  
Reza Teymourfar ◽  
Behzad Asaei ◽  
Hossein Iman-Eini ◽  
Razieh Nejati fard
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Regenerative Braking ◽  
Super Capacitor
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