EV Design session portal 03
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Hi Interns ,
Welcome to the Internship Task Portal .
Here you will get all the intimations regarding your tasks , sessions , assignments and any updated briefing .
(The information and content provided in this portal is purely confidential and is under protected surveillance by the technical support team.)
⚡ Electric Vehicle Design – Internship Update
The Electric Vehicle Design Internship is designed to provide students with a strong foundation in modern automotive engineering and electric powertrain techniques. This program focuses on understanding EV technologies, particularly battery management systems (BMS), electric motors, and drivetrain integration, and their applications in sustainable transit, commercial logistics, and smart mobility.
Throughout the internship, participants will:
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Learn the fundamentals of automotive dynamics and electrical architecture
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Understand EV powertrain layouts and motor controller mechanisms
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Explore battery chemistry, thermal management, and cell configurations
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Study regenerative braking, power electronics, and charging infrastructure techniques
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Analyze real-world applications of EV design in micro-mobility and heavy transit
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Work on computer-aided design (CAD) and simulation tools used in automotive research
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Complete a mini-project related to EV-based chassis or powertrain optimization
Each task includes:
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📺 Session-based learning
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📝 Notes preparation
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📊 Practical case-study analysis
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📊 Research-based assignments
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📤 Submission via Google Forms
By the end of the internship, students will gain practical knowledge of electric vehicle technologies, powertrain engineering, BMS configurations, and modern automotive simulation, preparing them for opportunities in automotive engineering, electrical systems design, mechanical modeling, thermal management, renewable energy, and smart transit industries.
✅ TASK 1: Inside Electric Vehicle Powertrains
🎯 Objective:
Gain a foundational understanding of electric vehicle powertrain architectures, major component interactions, and the engineering principles governing efficient energy conversion from battery to wheels.
🎬 Session:
👉click here to watch uploded session
📝 Task:
• Write notes on:
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Primary architectural configurations of modern electric vehicle powertrains (e.g., central motor vs. in-wheel/hub motors).
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Operational differences and torque-speed characteristics of PMSM (Permanent Magnet Synchronous Motors) vs. Induction Motors in EVs.
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Core functions of the inverter and power electronics in managing bidirectional energy flow during acceleration and regenerative braking.
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Main thermal management challenges encountered within highly integrated electric drive units (EDUs).
🔬 Practice / Research:
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Research the efficiency tradeoffs between silicon IGBTs and Silicon Carbide (SiC) MOSFETs in modern EV inverters.
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Write a short summary explaining how regenerative braking torque limits are dynamically calculated based on battery State of Charge (SoC) and temperature.
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List 3 distinct engineering challenges associated with high-voltage (800V vs. 400V) powertrain architectures.
📄 Practice Activity:
Write a short paragraph explaining: “The mechanical and electrical advantages of integrating the motor, inverter, and gearbox into a single 3-in-1 electric drive unit (EDU).”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 2: Exploring the Role of Artificial Intelligence in Electric Vehicle Development
🎯 Objective:
Understand how machine learning, deep learning, and data analytics optimize modern EV battery management systems, autonomous driving algorithms, and predictive maintenance schedules.
🎬 Session:
👉 click here to watch uploded session
📝 Task:
• Write notes on:
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Application of machine learning models in predicting battery State of Charge (SoC) and State of Health (SoH) more accurately than traditional Coulomb counting.
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Role of neural networks in computer vision for Advanced Driver Assistance Systems (ADAS) and path planning.
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Data pipelines required to collect, process, and clean real-time vehicle telematics for cloud-based fleet analytics.
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Challenges of deploying AI models on edge hardware (embedded automotive ECUs) with limited computing power.
🔬 Practice / Research:
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Research the difference between Physics-Informed Neural Networks (PINNs) and purely data-driven AI models in battery life estimation.
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Write a short summary on how Reinforcement Learning (RL) is used to optimize real-time energy management strategy (EMS) in hybrid or electric drivetrains.
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List 3 key cybersecurity concerns related to OTA (Over-The-Air) updates for AI models running in connected vehicles.
📄 Practice Activity:
Write a short paragraph explaining: “How AI-driven predictive maintenance utilizes anomaly detection in motor vibration and temperature logs to prevent catastrophic drivetrain failures before they happen.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 3: Electric Vehicle 101: A Comprehensive Introduction to EV Technology & Sustainability
🎯 Objective:
Establish a comprehensive baseline of the electric vehicle ecosystem, exploring raw material sourcing, global charging standards, and lifecycle environmental impacts.
🎬 Session:
👉 Click here to Watch your uploaded session
📝 Task:
• Write notes on:
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Fundamental differences in engineering architecture between ICE (Internal Combustion Engine) vehicles, HEVs, PHEVs, and BEVs.
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Global charging standard standards (e.g., CCS1, CCS2, CHAdeMO, NACS/Tesla) and their geographical deployment.
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Environmental footprint of battery production, highlighting the extraction of critical raw materials like Lithium, Cobalt, and Nickel.
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The structure and commercial viability of “Second-Life” battery applications (repurposing EV batteries for grid storage).
🔬 Practice / Research:
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Research the comparative Cradle-to-Grave Carbon Footprint (LCA) of an EV vs. a comparable modern ICE vehicle operating on a standard regional energy grid.
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Write a short summary explaining the concept of “Well-to-Wheel” efficiency and why EVs naturally outperform ICE vehicles in energy conversion.
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List 3 primary logistical and chemical challenges encountered in current hydrometallurgical and pyrometallurgical battery recycling processes.
📄 Practice Activity:
Write a short paragraph explaining: “The socioeconomic and environmental implications of shifting from cobalt-heavy chemistries (NMC) to Lithium Iron Phosphate (LFP) in entry-level global mass-market electric vehicles.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 4: Design & Simulation of an Electric Vehicle to Grid (V2G) System Using MATLAB
🎯 Objective:
Develop functional systems-level simulation competencies by designing and evaluating bidirectional energy networks mapping EVs to the localized electrical grid.
🎬 Session:
👉 Click here to Watch your uploaded session
📝 Task:
• Write notes on:
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Mathematical and control-loop logic governing bidirectional DC-DC and DC-AC converters for power injection back into the grid.
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Peak-shaving and load-leveling strategies executed via localized vehicle aggregation algorithms.
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Key MATLAB/Simulink blocks used to model grid compliance, phase-locked loops (PLL), and active/reactive power control.
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Communication protocols required to orchestrate secure microgrid integration (e.g., ISO 15118 and OpenADR).
🔬 Practice / Research:
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Research the degradation impacts of micro-cycling on lithium-ion batteries participating in frequent V2G frequency regulation activities.
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Write a short summary explaining how smart charging (V1G) differs dynamically and structurally from true bidirectional V2G injection.
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List 3 primary utility-side barriers (regulatory or technical) holding back massive deployment of residential V2G infrastructure.
📄 Practice Activity:
Write a short paragraph explaining: “The economic framework needed to incentivize EV owners to open their battery capacity up to grid dispatch, balancing potential battery degradation against monetary utility credits.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 5: Mastering Hybrid Electric Vehicles (Part 1): A Comprehensive Guide for Engineers
🎯 Objective:
Deconstruct the complex mechanical-electrical balancing acts of hybrid powertrains, specializing in topologies, split modes, and planetary gear systems.
🎬 Session:
👉 Click here to Watch your uploaded session
📝 Task:
• Write notes on:
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Structural routing differences between Series, Parallel, and Series-Parallel (Power-Split) hybrid vehicle configurations.
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Mechanical mechanics of a power-split device utilizing a planetary gear set to balance engine torque and motor speeds.
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Mode transition dynamics (e.g., shifting cleanly from pure EV mode to engine-start mode under high driver torque demand).
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Sizing methods for matching internal combustion engine displacement against battery/traction motor capacity in a PHEV layout.
🔬 Practice / Research:
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Research the specific design compromises made when designing an engine optimized for an HEV (e.g., Atkinson or Miller cycle) versus a traditional Otto cycle engine.
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Write a short summary explaining how a High-Voltage Starter Generator (HVSG) optimizes fuel savings through seamless start-stop operation and engine torque smoothing.
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List 3 distinct thermal management challenges inherent to having both high-temperature combustion blocks and lower-temperature power electronic cooling loops packed under one hood.
📄 Practice Activity:
Write a short paragraph explaining: “The operational logic behind using the electric motor to keep the engine operating strictly within its most efficient Brake Specific Fuel Consumption (BSFC) island across varying vehicle speeds.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 6: Mastering Hybrid Electric Vehicles (Part 2): Control Strategies and Optimization
🎯 Objective:
Advance your systems engineering capabilities by evaluating control algorithms, fuel minimization modeling, and state-estimation loops in multi-source powertrains.
🎬 Session:
👉 Click here to Watch your uploaded session
📝 Task:
• Write notes on:
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Rule-Based energy management strategies (Heuristic State-Machine control) versus Optimization-Based control methods in HEVs.
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Mathematical foundations of the Equivalent Consumption Minimization Strategy (ECMS) for instant power split optimization.
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Global optimization techniques using Dynamic Programming (DP) to chart the absolute boundary limits of fuel economy.
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Methods for real-time monitoring and updating of internal resistance parameters within hybrid battery packs subject to variable pulse-charging profiles.
🔬 Practice / Research:
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Research the real-world operational challenges of deploying Dynamic Programming strategies inside a vehicle’s actual production ECU (e.g., curse of dimensionality and predictive route knowledge).
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Write a short summary explaining how predictive energy management leverages upcoming GPS/ADAS map data to deplete or conserve battery energy prior to steep terrain changes.
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List 3 performance parameters that degrade fastest when a hybrid powertrain relies on poorly calibrated torque arbitration algorithms over long-term driving.
📄 Practice Activity:
Write a short paragraph explaining: “Why maintaining precise control over a hybrid vehicle’s battery State of Charge (SoC) inside a narrow ‘charge-sustaining’ window is critical to ensuring maximum hybrid fleet longevity.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218
✅ TASK 7: Electric Vehicle Transmissions: Single-Speed, Multi-Speed, & Continuously Variable
🎯 Objective:
Analyze the mechanical design parameters, torque conversion choices, and high-efficiency gear ratio selections that bridge the electric traction motor to final drive wheels.
🎬 Session:
👉 Click here to Watch your uploaded session
📝 Task:
• Write notes on:
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Why single-speed reduction gearboxes dominate the modern EV market compared to traditional multi-gear ICE setups.
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The efficiency and performance justifications for adopting multi-speed transmissions (2-speed layouts) in high-performance or heavy-duty EVs.
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Working mechanical principles of modern Electronic Continuously Variable Transmissions (e-CVT) within clean-energy platforms.
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Design factors governing NVH (Noise, Vibration, and Harshness) mitigation in ultra-high-RPM EV gearboxes (up to 20,000+ RPM).
🔬 Practice / Research:
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Research the drag torque losses and shift-shock profiles associated with choosing dog clutches versus multi-plate wet clutches in multi-speed EV gearboxes.
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Write a short summary explaining how multi-speed gear ratios can effectively downsize the physical footprint and thermal load of an electric traction motor while maintaining identical launch torque.
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List 3 lubrication and fluid wear characteristics that demand specialized low-viscosity, high-dielectric EV transmission fluids (e-Fluids).
📄 Practice Activity:
Write a short paragraph explaining: “The complex engineering design balance between maximizing top-end cruise efficiency on highways and maintaining high launch gradeability when picking an EV’s final drive reduction ratio.”
📊 Internship Task Completion Status Form:
After completing this task, interns must fill out the Internship Task Completion Status Form and upload their notes/practice work.
👉 Form Link: https://forms.gle/kArakCDLG6aeCn218