Battery swapping technology in EV Technology - Mini Project: Build & Apply

Battery swapping technology

📖 Scenario: You are working with an electric vehicle (EV) company that wants to explain how battery swapping technology works. This technology allows EV owners to quickly exchange their depleted battery for a fully charged one at special stations, instead of waiting to recharge.We will create a simple step-by-step model to represent the battery swapping process and its key components.

🎯 Goal: Build a simple model that shows a list of battery stations, a threshold for battery charge level, and a process to identify which batteries need swapping. Finally, mark the batteries ready for swapping.

📋 What You'll Learn

Create a dictionary named battery_stations with station names as keys and battery charge levels as values.

Create a variable named swap_threshold to represent the minimum charge level before swapping is needed.

Use a dictionary comprehension named batteries_to_swap to select batteries with charge below the threshold.

Add a final key 'ready_for_swap' with value true to the batteries_to_swap dictionary.

💡 Why This Matters

🌍 Real World

Battery swapping technology helps electric vehicle owners quickly replace low batteries, reducing wait times and improving convenience.

💼 Career

Understanding how to model and filter data related to battery charge levels is useful for EV software developers and system designers.

1

Create battery stations data

Create a dictionary called battery_stations with these exact entries: 'StationA': 85, 'StationB': 40, 'StationC': 30, 'StationD': 90, 'StationE': 20 representing battery charge levels in percentage.

EV Technology

# Create the battery_stations dictionary with exact station names and charge levels
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the exact station names and their battery charge levels.

2

Set swap threshold

Create a variable called swap_threshold and set it to 50 to represent the minimum battery charge percentage before swapping is needed.

EV Technology

battery_stations = {'StationA': 85, 'StationB': 40, 'StationC': 30, 'StationD': 90, 'StationE': 20}
# Create the swap_threshold variable and set it to 50
# Your code here

Need a hint?

Just assign the number 50 to the variable swap_threshold.

3

Identify batteries needing swap

Create a dictionary comprehension called batteries_to_swap that includes only the stations from battery_stations where the battery charge is less than swap_threshold.

EV Technology

battery_stations = {'StationA': 85, 'StationB': 40, 'StationC': 30, 'StationD': 90, 'StationE': 20}
swap_threshold = 50
# Create batteries_to_swap dictionary with stations having charge less than swap_threshold
# Your code here

Need a hint?

Use a dictionary comprehension with for station, charge in battery_stations.items() and an if condition to filter.

4

Mark batteries ready for swap

Add a new key 'ready_for_swap' with the value true to the batteries_to_swap dictionary.

EV Technology

battery_stations = {'StationA': 85, 'StationB': 40, 'StationC': 30, 'StationD': 90, 'StationE': 20}
swap_threshold = 50
batteries_to_swap = {station: charge for station, charge in battery_stations.items() if charge < swap_threshold}
# Add 'ready_for_swap' key with value true to batteries_to_swap
# Your code here

Need a hint?

Use the syntax batteries_to_swap['ready_for_swap'] = true to add the new key and value.