Post Graduate Program in Battery Technology for Mechanical Engineers by Skill Lync: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based

Course overview

The Post Graduate Program in Battery Technology for Mechanical Engineers Training Course is a specialized course in the domain of electrical and mechanical engineering that deals with the fundamentals of the Electric Vehicle (EV) industry. The course will cover all important topics of battery technology in the EV industry.

The Post Graduate Program in Battery Technology for Mechanical Engineers Certification Course is beneficial for learners planning to build a career in the field of battery systems or the electric vehicle industry. The online course will help learners be proficient in the design, development, and management of battery systems.

After the completion of the Post Graduate Program in Battery Technology for Mechanical Engineers Live Course, learners will be rewarded with a course certificate. The course will be delivered through online video lectures, technical projects, and hands-on exercises within a span of 8 months.

Course and certificate fees

The fees for the course Post Graduate Program in Battery Technology for Mechanical Engineers is -

Head	Amount
Programme fees	Rs. 2,75,000
EMI	Rs. 14,375/month

certificate availability

Yes

certificate providing authority

Skill Lync

Who it is for

The course can be opted by engineering graduates of Mechanical Engineering, Electrical Engineering, or Mechatronics field who are interested in working in the research and development sector of the automation and energy storage industry.
The course is suitable for working professionals or scholars who wish to work in the EV industry, supplier industry, or applied research institutes.

What you will learn

Knowledge of electronics Knowledge of engineering

After completing the Post Graduate Program in Battery Technology for Mechanical Engineers Classes, you will learn about the following topics:

Basics of MATLAB
Simulation and mathematical modelling
Fundamentals and terminology of electrochemistry
Battery pack construction and storage technologies
Battery Management System and Battery Charging
Thermal Management and Computational Fluid Dynamics
Mathematics and Fluid Dynamics Essentials
Matlab and Basic CFD Concepts
Solving standard CFD problems in OpenFOAM
Engineering and working principles of cooling system design
Sizing and system of cooling system components
Cell characterization and battery configuration using MATLAB
Battery Pack Range Estimation for a Vehicle using Microsoft Excel

The syllabus

Course 1: Introduction to Battery Technology for Electric Vehicle

Week 1: Energy and electrochemistry

Sources of energy for propulsion & their comparison: Net Calorific Value & Conversion efficiency
History and background of battery technology
Electrochemistry fundamentals & terminologies
Lithium-ion battery and different chemistries

Week 2: Important terms and characteristics

Portable power applications and electrical load requirements
Factors affecting the choice of EV battery systems
Commercially available lithium-ion cells
Electrical characteristics of battery: Capacity, C-rate, impedance, DOD, SOC, SOH, Life cycles, Mechanical characteristics, Form factor, Safety

Week 3: Mathematical Modelling

Reading cell manufacturer’s specifications
Cell characterization
Tools and standard testing
Battery capacity estimation algorithms
Electrical equivalent circuit & mathematical model in MATLAB

Week 4: Battery Pack Construction

Battery modules and complete battery pack system
Assembly methods
Electrical connections
Cell level protection system
Battery pack level protection system
Understanding laptop battery pack system

Week 5: New Energy Storage Technologies

Other energy sources: New battery technologies, Ultracapacitor, Fuel cell, Flywheel
Hybridization of energy storage systems

Week 6: Battery Management System: Introduction

Battery pack requirements: Measurement
Protection and management
Cell balancing
Battery pack electronics
Battery Management System (BMS): Functionality, technology and topology (centralized, modular, master-slave, distributed)

Week 7: Battery Management System: Design

BMS Application Specific Integrated Circuit (ASIC) selection
Analog BMS design
Digital BMS design
BMS deploying: Installing, testing and troubleshooting

Week 8: Battery Charging

Battery charge management
MATLAB simulation of battery charging circuit
Charger circuit overview
EV charging technology review
Charging behavior: life cycle & safety

Week 9: Thermal Management

Types of temperature sensors
Thermal management system
Thermal model of battery pack
Drive cycle simulation and vehicle range estimation
Cooling materials and methods

Week 10: Recent Trends and Economy

Communication systems for battery pack
Review of electric car battery pack
Important considerations
Recent trends: Grid level energy storage
Solar & wind integration
Recycling and pricing

Course 2: Advanced CFD Meshing using ANSA

Week 1: Introduction to ANSA GUI and Tools

In this module, you will be introduced to the ANSA Software. You will learn the Graphical User Interface(GUI) of the ANSA tool.
You will get to know about different solvers and the types of analysis carried out using them.
You will be introduced to the basic tools that will help you with geometric cleanups and other deck setups in ANSA.
The topics covered in this module are,
- Introduction to ANSA
- ANSA GUI
- Geometric tools and topology cleanup
- Different tools used in the TOPO deck

Week 2: 2D (Surface) Meshing to Pressure valve

In this module, you will be introduced to the pressure valve model. You will learn to perform surface meshing on a pressure valve model.
The topics covered in this module are,
- PID creation and PID assignment
- Different selection techniques and visibility tools
- Basic Topology cleanup
- Basic tools used in surface meshing

Week 3: 3D (Volume) Meshing to Turbocharger

In this module, you will be introduced to the turbocharger model.
You will get to know, how to perform volumetric meshing to a turbocharger model.
The topics covered in this module are,
- Geometry cleanup to define volumes
- Various geometry checks
- Surface meshing as per quality criteria
- Volumetric meshing as per requirements

Week 4: CFD meshing to BMW M6 Model inside Wind tunnel

In this module, you will be introduced to the BMW M6 model.
You will learn how to perform CFD meshing on a BMW M6 model.
The topics covered in this module are,
- Advanced topology cleanup to define volumes
- Variable surface meshing part by part
- Solving quality failed elements as per quality criteria
- Symmetry operation for surface and mesh elements
- Wind tunnel creation
- CFD meshing for wind tunnel

Week 5: Surface Wrap to an Automotive Assembly

In this module, you will be introduced to three different automotive models: engine, transmission, and gearbox.
You will learn how to perform surface wrap on an automotive assembly for CFD analysis of the outer flow.
The topics covered in this module are,
- Geometry cleanups for the surface wrap.
- Merging of different models into one GUI.
- Surface wrapping for an assembly.

Course 3: Introduction to CFD using MATLAB and OpenFOAM

Week 1: What is Computational Fluid Dynamics?

In this module, you will understand the basics and significance of CFD.
You will also learn what the Navier-Stokes equations are and how they are derived.
The following topics are covered this week.
- CFD - An Introduction, Necessity, Advantages, and CFD Modeling Process
- Deriving and understanding the Navier Stokes equations
  - Substantial Derivative
  - Continuity Equation
  - Momentum Equation
  - Energy Equation
  - Significance of the Reynolds number in the NS equations

Week 2: Mathemathics and Fluid Dynamics Essentials

In this module, you will be writing solvers and introduced to different numerical methods.
The following topics are covered this week.
- Basic Vector Calculus - Divergence, Gradient, and Curl
- Taylor’s Series
- Initial and Boundary Conditions
- Classification of PDEs and their characteristics
- Learning essential fluid dynamics quantities and their dimensional analysis

Week 3: Introduction to MATLAB and Basic CFD Concepts

It is essential to establish a rigid foundation before plunging into the farther depths of CFD.
This is where you get introduced to MATLAB and learn the basic concepts of CFD by writing MATLAB scripts.
Here are some topics that we would cover:
- Getting acclimated to the MATLAB interface
- Numerical discretization and its types
- FDM - Understanding different schemes with worked examples in MATLAB
- Deriving own FD schemes using Taylor’s table
- Solving ODEs in MATLAB using the ‘ode45’ solver

Week 4: Exploring CFD by Solving Standard CFD Problems using FDM

In this module, you will venture into the Finite Difference Approach to discretization and solve various benchmark CFD problems in MATLAB.
- Solving coupled linear systems using iterative solvers
- Jacobi
- Gauss-Seidel
- SOR

Week 5: Introduction to FVM and OpenFOAM

In this module, you will learn how to run a simulation on OpenFOAM and the significance of using an FVM approach.
These are the topics you would learn:
- Finite Volume Method and Gauss Divergence Theorem
- Understanding the Linux environment
- OpenFOAM code organisation and case setup
- Detailed blockMeshDict tutorial

Week 6: Solving Standard CFD Problems in OpenFOAM

In this module, you will be using OpenFOAM for exploring and simulating a wide variety of problems.
You will also create a platform that will enable you to start any simulation from scratch and establish confidence in your result.

Course 4 Introduction to GUI based CFD using ANSYS Fluent

Week 1: Introduction to CFD

In this module, you will understand what CFD is and its uses. You will also be introduced to the basic governing equations solved and many schemes and algorithms used to stabilize and improve the accuracy of the solution.
- Governing Equations of Fluid Motion
- Numerical Discretization
- Fluid Solver
- Boundary Conditions
- Post-Processing

Week 2: Simulating Laminar and Turbulent Flows in ANSYS Fluent

In this module, the focus is to simulate basic compressible and incompressible flows using ANSYS Fluent. You will be introduced to the streamlined workflow on the Workbench tool, from geometry creation to the solution post-processing procedure. You will get hands-on experience in
- Geometry Creation
- Meshing
- Boundary and Initial Condition Calculation
- Setting up solution algorithms
- Solving and post-processing

Week 3: Performing Steady State Simulations

In this module, the focus is to simulate basic compressible and incompressible steady-state simulations. This provides you with an introduction to the solution setup procedure for a steady-state simulation. You will get hands-on experience in
- Geometry created using SpaceClaim
- How to set up Steady-State Simulations?
- Checking for Convergence and understanding when the simulation converges for different boundary conditions
- How to create Runtime Animation of Engineering Parameters?
- Project 1: HVAC Simulation Inside a Mixing TEE
- Project 2: Performing Parametric Study on Flow Inside a Gate Valve
- Project 3: Performance Characterization of a Cyclone Separator

Week 4: Exploring Meshing strategies

Meshing is an important component in CFD analysis. Improper meshing can lead to bad results. In this module, you will learn the different meshing techniques that can improve the solution accuracy with a balanced computational cost. More hands-on experience in
- Methods of providing local refinement like Sphere of Influence, Body Sizing, etc.
- Concept of Y plus and its importance
- Inflation Layers and Controls
- Mesh Dependence Test

Week 5: External Aerodynamics

You will learn the fundamentals of performing external flow analysis using ANSYS Fluent. It provides you with knowledge on boundary layer concepts, needs of Y plus, and wall functions. Here, we will focus on the following topics.
- Setting up Virtual Wind Tunnels using the Enclosure Utility
- Understand Vortices, calculating Downforce & the drag on a Vehicle
- Y+ Estimation & Grid Refinement

Week 6: Conjugate Heat Transfer

In this module, you will learn how to simulate solid-side heat transfer along with the fluid flow. Conjugate Heat Transfer (CHT) refers to simulating multiple modes of heat transfer. For example, in one of the projects, you will simulate the heat transfer in an exhaust manifold when hot exhaust products are flowing through it. When you complete this module, you will be able to do the following:
- Extracting solid and fluid volumes
- Creating Shared Topologies for Creating Conformal Meshes
- Setting up Volumetric Heat Sources
- Visualizing Heat Transfer Coefficient Distribution

Week 7: Discrete Phase Modelling

Discrete Phase Modelling (DPM) is used to model particles, fuel drops, coal, and any other type of suspended phase. You will work on problems like the Cyclone Separator, where you will incorporate the DPM approach to simulate how suspended impurities travel through a Cyclone Separator. You will get hands-on experience in
- Different types of discrete phase boundary conditions and their effects
- Methods of tracking the Discrete Phase Particles
- Turbulence Intensity and Vortex Core Visualisation

Week 8: Introduction to User Defined Functions

You will learn how to write a customized program, create different monitor points, and extract the relevant information you need to form a simulation.

Week 9: Basic Reacting Flows

In this module, you will learn how to simulate reacting flows using ANSYS Fluent. This includes combustion applications.

Course 5: Li-ion Battery System design in EV & ES

Week 1: Introduction to Li-ion Battery

Li-ion Battery – An Introduction, Advantages
Voltage, Current, Watts, Ampere-hour, Watt-hour
Structure of a Li-ion cell, Evolution of the Li-ion cells, Li-ion cell chemistries

Week 2: Safety Operating Area of Li-ion

Electrical Cell Model
- Identifying RC Value of Cell using MATLAB
- SOC Estimation using the RC Value

Week 3: Battery Pack Design

Identifying Number of Cells in Series and Parallel
Battery Aging
Peak Load Optimization
Importance of Mechanical Enclosure

Week 4: Battery Pack Modelling

Cell Testing Methods and Techniques
Battery pack Modelling
Battery Charging Topologies
Fast Charging

Week 5: Introduction to Battery Management System

Need of BMS
Features of BMS
Architecture of BMS

Week 6: Battery Management System

Individual Cell Voltage Measurement
Charge and Discharge Current Measurement
Cell Temperature Measurement
BMS Fault Safety Features

Week 7: Battery Management System

MOSFET Switching Profile
Cell Balancing
- Passive Cell Balancing
- Active Cell Balancing

Week 8: SOC Measurement in Battery System

Voltage Translation SOC Measurement
Coulomb Counting SOC Measurement
Combination of Voltage Translation and Coulomb Counting

Week 9: BMS Communication

Types of Communication
- RS485 Communication Protocol
- CAN Communication Protocol

Week 10: Battery Pack Range Estimation

Standard Drive Cycle
Vehicle Dynamics for Range Estimation
Battery Pack Range Calculation using Microsoft Excel
Battery Performance for Acceleration

Week 11: Thermal System

Introduction to Thermal Management System for Li-ion battery
Need for TMS
Types of Thermal Cooling System
Design Calculations for Li-ion Battery Cooling System

Week 12: High Voltage Lithium-ion Battery Electrical Safety

High Voltage Battery Pack Shock
Hazard Classification of Batteries
Shock Hazard Signs
Fire Extinguish Methods
Thermal Runaway
Li-ion Battery Fire Extinguish
Guidelines

Course 6: Battery Thermal Management using Ansys Fluent and MATLAB

Week 1: Concept of Heat Transfer and Fluid Flow

Engineering Heat Transfer
Heat and Other Forms of Energy
The First Law of Thermodynamics
Heat Transfer Mechanisms
Conduction
Convection
Radiation
Simultaneous Heat Transfer Mechanism

Week 2: Introduction to Battery Technology and Electrochemical Modelling

How electrochemical cells work
Choosing active materials
Lithium-ion cell make-up
Availability of Lithium
Manufacturing: Making the Electrodes
Manufacturing: Assembling the Cell
Failure Modes

Week 3: Equivalent Circuit Modelling of Cell and Thermodynamic of Cell

Open Circuit Voltage (OCV)
State of Charge
Linear Polarization
OCV Testing
Coulombic Efficiency
Thermal Logic and Algorithms
Li-ion Aging
Butler Volmer Model

Week 4: Battery Thermal Management

Air Cooling and Heating
Liquid Cooling and Heating
Direct Refrigerant Cooling and Heating
PCM
Thermoelectric Module
Heat Pipe
PTC Heater
Forced Air System
Liquid System
PCM System
Thermoelectrics
Combined Liquid System (CLS)
PCM Model (CLS+PCM)

Week 5: Concepts of CFD

Computational Fluid Dynamics: Why?
Computational Fluid Dynamics as a Research Tool
Computational Fluid Dynamics as a Design Tool
Governing Equations of CFD
Type of Boundary Conditions
Finite Difference Method
Finite Volume Method
Introduction to Commercial Software (Fluent/StarCCM+)

Week 6: Thermal and Flow Modelling of Battery Pack

Geometry Cleanup
Preprocessing (Meshing strategies)
Solution Setup
Post-processing
Pressure Drop Study
Selection of Fan/Pump for Cooling System
3D Modelling of Liquid-cooled Thermal Systems using Fluent
3D Thermal Modelling of an Air-cooled Battery Pack

Admission details

Follow the steps below to enroll in the Post Graduate Program in Battery Technology for Mechanical Engineers Training Course:

Step 1: Go to the official website by clicking on the URL given below -

https://skill-lync.com/electrical-engineering-courses/masters-certification-program-battery-technology

Step 2: Click on the "Enroll Now" option provided on the course page.

Step 3: Select a suitable payment package and unlock access by submitting your name, email id and phone number.

Scholarship Details

The course provides a chance to earn win a scholarship up to Rs. 25,000. You can apply for a scholarship test on the course page at the Skill-Lync website.

How it helps

The Post Graduate Program in Battery Technology for Mechanical Engineers Certification Benefits are given below:

The course will help learners understand the principles of battery working, battery management systems, thermal management, and the design of the cooling system.
Through the training sessions, learners will be introduced to software tools like C/C++, MATLAB, GT suite and Ansys Fluent.
Through the skills and knowledge gained through the course, learners will be able to design and build efficient battery technology systems for the Electric Vehicle industry.

FAQs

On which learning platform is the Post Graduate Program in Battery Technology for Mechanical EngineersTraining Course available?

The Post Graduate Program in Battery Technology for Mechanical EngineersOnline Course will be available on the Skill-Lync platform.

What are the software skills taught in the Post Graduate Program in Battery Technology for Mechanical Engineers course?

The course will cover software tools like Matlab or Simulink), GT Suite & Ansys Fluent), C/C++, RTOS, Design Studio IDE, JTAG Debugger, Quectel GSM or GPRS and GNSS modules.

What is the total duration of the Post Graduate Program in Battery Technology for Mechanical Engineers course?

The Post Graduate Program in Battery Technology for Mechanical Engineers Online Course has a duration of 8 months in total.

In which companies will I get jobs using the skills gained through the course?

The learners can seek jobs in automotive companies like Mahindra, Tata, Maruti, Renault, Nissan, and electronic companies like IBM, Microsoft, Google, and Dell.

Does the Post Graduate Program in Battery Technology for Mechanical Engineers course offer placement assistance?

No, the Post Graduate Program in Battery Technology for Mechanical Engineers Training Course does not offer placement support.

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Post Graduate Program in Battery Technology for Mechanical Engineers

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