Developing a Vehicle Telemetry System for Electric Cars 

The scenario is that an automotive company is developing a vehicle-telemetry system for its new line of electric cars. The system collects and transmits real-time data from various sensors to a central processing unit (CPU) and to cloud servers for diagnostics, performance monitoring, and predictive maintenance.

Each vehicle must continuously transmit the following data:

• Vehicle ID: A unique identifier for each car
• Speed: A real number in km/h
• Battery Level: A percentage (0 to 100%)
• Motor Temperature: A real number in degrees Celsius
• Timestamp: Time of data capture
• Status Flags: A set of Boolean indicators (e.g., charging, overheating, low battery)

Task 1

For each data type (Vehicle ID, Speed, Battery Level, Motor Temperature, Timestamp, Status Flags), decide how to represent the data and provide reasoning.

Task 2

Provide solutions to the following challenges:

• Speed or temperature values exceeding expected ranges may cause overflow.
• Very small temperature changes (e.g., 0.00001°C) may underflow in single-precision.
• Misinterpreting Vehicle ID as ASCII instead of UTF-8 could corrupt logs.
• Misinterpreting status flags due to bit-shift errors.

Task 3

Provide four real-world applications in which the telemetry data is used.