Nap Spot Selection System for Electric Vehicle Battery Management
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Solution Overview
Problem
Electric vehicles face increased power consumption and battery deterioration when using air conditioners during long stops, as the power consumption varies with outside air temperature, leading to inefficient energy use and potential battery degradation.
Innovation Solution
A nap spot selection method and system that chooses locations along a vehicle's route based on outside air temperature data to calculate and minimize battery power consumption and deterioration, using a control unit to acquire temperature data, calculate power consumption and deterioration levels, and select optimal nap spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the air conditioner is operated during a long time stop of the vehicle, then the comfort in the vehicle compartment is ensured, but the power consumption amount of the battery increases
Solution Approach 1:
The system performs preliminary calculations of power consumption and deterioration levels for multiple nap spots before the vehicle actually stops. By pre-calculating these values based on outside air temperature data and battery state, the system prepares optimal nap spot recommendations in advance, allowing the user to make informed decisions about where to stop without experiencing high power consumption or battery deterioration.
Solution Approach 2:
The system changes the parameter of selecting nap spots based on outside air temperature conditions. By identifying nap spots with lower outside air temperatures, the system reduces the cooling load required, thereby lowering power consumption and battery deterioration while maintaining comfort inside the vehicle during the stop.
2Ease of operation
If the air conditioner is operated for a long time during a stop, then the comfort is maintained, but the deterioration level of the battery increases
Solution Approach 1:
The system performs preliminary assessments of battery deterioration levels for different nap spot options before the vehicle stops. By calculating deterioration levels based on outside air temperature and battery state of charge in advance, the system identifies nap spots that minimize battery stress while maintaining comfort, preventing significant deterioration before it occurs.
Solution Approach 2:
The system selects nap spots with specific outside air temperature parameters that reduce thermal stress on the battery. By choosing locations with cooler outside temperatures, the system reduces the energy required for air conditioning, thereby minimizing battery deterioration while preserving interior comfort during the stop.
3Ease of operation
If nap spots are selected based solely on convenience, then the ease of stopping is improved, but the power consumption and battery deterioration increase
Solution Approach 1:
The system changes the selection parameter from purely convenience-based to a multi-parameter approach that includes outside air temperature, power consumption calculations, and battery deterioration levels. This allows the system to identify nap spots that balance ease of stopping with energy efficiency, selecting locations that are both convenient and environmentally favorable for battery health.
Data Source
AI summary
A nap spot selection method includes: choosing a plurality of nap spots positioned along a traveling route of an electric vehicle that includes a battery and an air conditioner; acquiring data on an outside air temperature of each of the chosen nap spots; calculating, based on the outside air temperature data, a power consumption amount of the battery where the air conditioner is operated for a predetermined time at each of the nap spots; calculating, based on the outside air temperature data, a deterioration level of the battery at each of the nap spots; and selecting, from the plurality of nap spots, a nap spot in which the power consumption amount of the battery and/or the deterioration level of the battery are/is relatively low, based on the calculated power consumption amount of the battery and the calculated deterioration level of the battery.