Second-life battery applications in EV Technology - Mini Project: Build & Apply

Second-life Battery Applications

📖 Scenario: You work for a company that repurposes used electric vehicle (EV) batteries. These batteries no longer meet the strict requirements for cars but can still store energy for other uses.Your task is to organize information about second-life battery applications and understand their benefits.

🎯 Goal: Create a simple data structure listing common second-life battery applications, add a usage threshold, identify suitable applications based on that threshold, and finalize the list with a summary.

📋 What You'll Learn

Create a dictionary named applications with exact keys and values for battery uses

Add a variable min_capacity_kWh to set the minimum battery capacity for an application

Use a dictionary comprehension to select applications with capacity greater than or equal to min_capacity_kWh

Add a summary string describing the selected applications

💡 Why This Matters

🌍 Real World

Second-life batteries help reduce waste and provide affordable energy storage solutions for homes and grids.

💼 Career

Understanding second-life battery applications is important for careers in renewable energy, sustainability, and electric vehicle industries.

1

DATA SETUP: Create the applications dictionary

Create a dictionary called applications with these exact entries: 'Home Energy Storage': 10, 'Grid Support': 50, 'Backup Power': 20, 'Off-grid Lighting': 5, 'Electric Vehicle Charging': 30

EV Technology

# Create the applications dictionary with given keys and values
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the exact keys and values.

2

CONFIGURATION: Set minimum capacity threshold

Add a variable called min_capacity_kWh and set it to 20 to represent the minimum battery capacity in kilowatt-hours for suitable applications.

EV Technology

applications = {
    'Home Energy Storage': 10,
    'Grid Support': 50,
    'Backup Power': 20,
    'Off-grid Lighting': 5,
    'Electric Vehicle Charging': 30
}
# Set the minimum capacity threshold
# Your code here

Need a hint?

Assign the number 20 to the variable min_capacity_kWh.

3

CORE LOGIC: Filter suitable applications

Use a dictionary comprehension to create a new dictionary called suitable_applications that includes only the entries from applications where the capacity is greater than or equal to min_capacity_kWh. Use app and capacity as the loop variables.

EV Technology

applications = {
    'Home Energy Storage': 10,
    'Grid Support': 50,
    'Backup Power': 20,
    'Off-grid Lighting': 5,
    'Electric Vehicle Charging': 30
}
min_capacity_kWh = 20
# Create suitable_applications dictionary using comprehension
# Your code here

Need a hint?

Use {app: capacity for app, capacity in applications.items() if capacity >= min_capacity_kWh} to filter the dictionary.

4

COMPLETION: Add summary description

Add a string variable called summary that describes the suitable applications as: 'Applications suitable for second-life batteries with capacity 20 kWh or more.'

EV Technology

applications = {
    'Home Energy Storage': 10,
    'Grid Support': 50,
    'Backup Power': 20,
    'Off-grid Lighting': 5,
    'Electric Vehicle Charging': 30
}
min_capacity_kWh = 20
suitable_applications = {app: capacity for app, capacity in applications.items() if capacity >= min_capacity_kWh}
# Add the summary string
# Your code here

Need a hint?

Assign the exact string to the variable summary.