Which of the following factors least affects the electric vehicle's range during route planning?
Think about what influences battery usage and what does not.
The color of the vehicle's interior upholstery does not impact the battery consumption or range. Factors like speed, weather, and terrain directly affect energy use.
You have two routes to travel 100 km. Route A is flat but has heavy traffic causing frequent stops. Route B has hills but smooth traffic flow. Which route is likely to maximize your EV's range?
Consider how stopping and starting affects battery use compared to climbing hills.
Frequent stops waste energy due to acceleration. Smooth traffic flow, even with hills, often uses less energy overall than stop-and-go driving.
An EV has a rated range of 300 km at 20°C. Cold weather reduces battery efficiency by 20%. What is the estimated range at 0°C?
Calculate 20% reduction from the rated range.
20% of 300 km is 60 km. Subtracting 60 km from 300 km gives 240 km.
You plan a 400 km trip with an EV that has a 150 km range per full charge. Charging stations are located at 100 km, 180 km, 270 km, and 350 km. Which charging stops minimize total charging time while ensuring you never run out of battery?
Consider the maximum distance you can travel on a full charge and the spacing of stations.
You cannot skip the 100 km stop because 180 km - 0 km = 180 km (exceeds 150 km range). Stopping at 100 km, 180 km, and 270 km covers the trip without exceeding 150 km per charge.
Which route planning algorithm is best suited for optimizing EV range by considering battery state, elevation, and charging station locations?
Think about algorithms that use heuristics to estimate cost effectively.
A* algorithm with a heuristic that factors in elevation and battery use can find the most energy-efficient path, unlike simpler algorithms that ignore these factors.
