Design And Simulation Of Regenerative Braking System For Light-Duty Electric Vehicle

dc.contributor.advisorRamesh Babu Nallamothu (PhD)
dc.contributor.authorTeressa, Gizachew
dc.date.accessioned2025-12-17T11:22:08Z
dc.date.issued2025-05
dc.description.abstractRegenerative Braking Systems (Rbs) Represent An Advanced Energy Recovery Mechanism That Enhances The Operational Effectiveness Of Electrical Vehicles (Evs) By Changing Kinetic Energy During Slowing Down Into Electrical Energy For Battery Recharge. This Technology Significantly Improves Vehicle Range While Reducing Mechanical Wear On Braking Components And Mitigating Environmental Impact Through Enhanced Energy Utilization. This Study Investigated The Design And Modelling Of Light-Duty Electrical Vehicles Regenerative Braking Under Diverse Ethiopian Road Conditions, Specifically Analyzing The Addis Ababa To Bishoftu Corridor. Three Distinct Driving Environments, Urban, Suburban, And Highway, Were Systematically Evaluated To Assess System Performance. The Research Employed A Changan E-Star Ev As A Test Platform, With Real-World Operational Data Acquired Through Obd-Ii Interface Telemetry, Recorded Via A Smartphone-Based Car Scanner Application. Methodologically, The Study Implemented A Dual Computational Approach: (1) System Modeling Through Artificial Neural Networks (Ann) And Matlab/Simulink For Component And Subsystem Simulation, And (2) Performance Optimization Using Response Surface Method (Rsm) In Design-Expert Computer Software. The Integrated Modeling Framework Enabled A Comprehensive Analysis Of Energy Recovery Potential Across Varying Road Topographies And Traffic Conditions. The Study Identified The Average Efficiency Of The Regenerative Braking System As 28.6% In Urban,23.4% In Suburban Route, And 22.2% In Highway Route Using Experimental Driving From Ayertena (328.4km) To Bishoftu, A Total Of 8.26 Kwh Energy Recovered And 33.986 Kwh Energy Consumed. Matlab Simulation Results And Ann Training Results (Mse<1 & R=0.99) Indicated That The Amount Of Recovered Energy According To The Proposed Model Was Acceptable And Reduced Prediction Error By 3%. An Optimization Was Carried Out By Considering Main Effect Factors, Which Included Initial Speed Of Braking, Braking Strength, Number Of Braking Times, And Road Inclination. In This Finding, 1.55 Kwh. Optimum Energy Recovered At Initial Braking Speed Of 60km/H,0.5 % Braking Strength, -2. 04m.S^2 Deceleration Rate And -1.67 % Road Angle.en_US
dc.description.sponsorshipASTUen_US
dc.identifier.urihttp://10.240.1.28:4000/handle/123456789/2829
dc.language.isoen_USen_US
dc.publisherASTUen_US
dc.subjectRegenerative Braking System, Electric Vehicles, Artificial Neural Network, Simulation, Design, And Optimization.en_US
dc.titleDesign And Simulation Of Regenerative Braking System For Light-Duty Electric Vehicleen_US
dc.typeThesisen_US

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