EV Battery Preconditioning for Cold-Start Current Output
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The performance of battery electric vehicle (BEV) batteries is temperature-dependent, and existing systems fail to efficiently condition batteries to optimal operating temperatures, particularly in cold conditions, leading to inefficient current output.
Innovation Solution
A control system schedules battery conditioning by determining a wake-up time based on ambient and battery temperatures, using electronic components to manage current flow and thermal management, ensuring the battery reaches optimal operating temperatures before use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the battery is conditioned to optimal operating temperature before use, then the battery performance and current output efficiency are improved, but the time required for preparation increases
Solution Approach 1:
The system performs preliminary battery conditioning by scheduling wake-up times in advance based on the battery's chemical composition and current temperature. The control system calculates the required conditioning time and activates the battery heating system before the vehicle is needed, ensuring optimal operating temperature is reached without delaying vehicle availability.
Solution Approach 2:
The system dynamically adjusts the battery conditioning process based on real-time temperature monitoring and the specific chemical composition of the battery. The control system modifies heating intensity and duration according to the battery's response, optimizing the conditioning process to achieve target performance with minimal time investment.
2Device complexity
If the battery is conditioned using a fixed time schedule, then the system complexity is reduced, but the battery may not reach optimal temperature due to varying ambient conditions and battery compositions
Solution Approach 1:
The system changes key parameters including wake-up time calculations, heating intensity, and conditioning duration based on the specific chemical composition of the battery and ambient temperature conditions. The control system stores composition-specific parameters and automatically selects appropriate conditioning profiles, achieving reliable temperature optimization without excessive system complexity.
3Productivity
If the battery conditioning time is extended to ensure optimal temperature, then the battery performance is improved, but the vehicle availability and response time are reduced
Solution Approach 1:
The system performs preliminary conditioning by calculating and setting wake-up times in advance based on predicted vehicle usage patterns and current battery state. This allows the battery to be prepared optimally before the vehicle is needed, ensuring both high performance and rapid availability without extending the actual vehicle downtime.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures efficient battery performance by heating the battery to optimal temperatures, preparing it for driving or charging, thus enhancing the vehicle's operational readiness and energy efficiency.
Implementation Method 1
The performance of battery electric vehicle (BEV) batteries is temperature-dependent, and existing systems fail to efficiently condition batteries to optimal operating temperatures, particularly in cold conditions
Data Source
AI summary
A battery electric vehicle includes a scheduler configured to invoke conditioning of a battery preceding a time specified by a user. The scheduler instructs a VDM ECU to output a current requirement to drive motors according to a selected drive mode of a vehicle. A BMS ECU receives the current requirement and outputs a temperature requirement required to achieve the current requirement according to a composition of the battery. The BMS ECU outputs the temperature requirement to a TMM, which manages heating of the battery to achieve the temperature requirement. The time at which a vehicle is waked to begin conditioning the battery may be based on whether the vehicle is charging and a current or expected ambient temperature.