On the implementation of hybrid energy storage for range and battery life extension of an electrified Tuk-Tuk

2022 ◽  
Vol 46 ◽  
pp. 103897
Author(s):  
Eshan Karunarathne ◽  
Anjana Wijesekera ◽  
Lilantha Samaranayake ◽  
Prabath Binduhewa ◽  
Janaka Ekanayake
Keyword(s):  
Energy Storage ◽  
Life Extension ◽  
Battery Life ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

scholarly journals Two-Stage Configuration of User-Side Hybrid Energy Storage Based on Fuzzy Optimization

2019 ◽  
Vol 9 (24) ◽  
pp. 5307
Author(s):  
Yuanxing Xia ◽  
Qingshan Xu ◽  
Jun Zhao ◽  
Chengliang Wang
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Fuzzy Optimization ◽  
Energy Storage System ◽  
Two Dimensions ◽  
Energy Output ◽  
Battery Life ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Whole Life Cycle

This paper proposes a new method for configuring hybrid energy storage systems on the user side with a distributed renewable energy power station. To reasonably configure the hybrid energy storage system, this paper divides the whole optimization into two stages from the two dimensions of capacity and power: supercapacitor and battery optimization. To minimize the fluctuation of new energy output when the user’s investment is as small as possible, a dual agent fuzzy optimization algorithm is used in the configuration of the supercapacitor. When the battery is configured, the optimization objective is to maximize the user’s income and minimize the number of charges and discharges in an optimization cycle. By dividing two objective functions, multi-objective optimization is integrated into single-objective optimization, the battery life is extended, and the total revenue of the user in the whole life cycle is increased.

scholarly journals Prolongation of Battery Lifetime for Electric Buses through Flywheel Integration

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 899
Author(s):  
Philipp Glücker ◽  
Klaus Kivekäs ◽  
Jari Vepsäläinen ◽  
Panagiotis Mouratidis ◽  
Maximilian Schneider ◽  
...  
Keyword(s):  
Energy Storage ◽  
Public Transportation ◽  
Storage System ◽  
Energy Storage System ◽  
High Energy ◽  
Battery Life ◽  
Battery Lifetime ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Electrification of transportation is an effective way to tackle climate change. Public transportation, such as electric buses, operate on predetermined routes and offer quiet operation, zero local emissions and high energy efficiency. However, the batteries of these buses are expensive and wear out in use. The battery ageing is expedited by fast charging and power spikes during operation. The contribution of this paper is the reduction of the power spikes and thus a prolonged battery lifetime. A novel hybrid energy storage system for electric buses is proposed by introducing a flywheel in addition to the existing battery. A simulation model of the hybrid energy storage system is presented, including a battery ageing model to measure the battery lifetime. The bus was simulated during its daily driving operation on different routes with different energy management strategies and flywheel configurations. These different flywheels as well as the driving cycle had a significant impact on the battery life increase. The proposed hybrid battery/flywheel storage system resulted in a battery lifetime increase of 20% on average.

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.

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