Battery Enclosure Underside Impact Classification for EV Safety
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicles, particularly battery electric vehicles, face challenges in detecting and classifying impacts on the underside that could potentially damage the battery enclosure, leading to safety hazards such as thermal runaway or coolant leakage, which may not be immediately apparent and require timely evacuation.
Innovation Solution
A system utilizing impact sensors, including strain gauges and accelerometers, in conjunction with battery condition sensors, processes sensor outputs to classify the severity of impacts on the battery enclosure, determining the likelihood of piercing or damage through comparison with impact characterizing data, enabling the vehicle to take appropriate actions based on the classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If impact sensors and processing systems are installed to detect and classify impacts on the battery enclosure, then safety and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The battery enclosure is divided into multiple impact zones with sensors strategically positioned at critical locations. Each sensor monitors a specific segment of the enclosure, allowing localized impact detection and classification without requiring comprehensive sensor coverage of the entire structure. This segmented approach improves reliability at critical points while limiting overall system complexity.
Solution Approach 2:
Impact characterizing data is pre-collected and stored in the system before actual impacts occur. The processing system compares real-time sensor outputs against this pre-established database of impact characteristics, enabling rapid classification without requiring complex real-time analysis algorithms. This preliminary preparation reduces computational complexity while maintaining high reliability in impact assessment.
2Measurement precision
If multiple impact sensors are distributed across the battery enclosure underside, then impact detection precision is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
Sensors are not uniformly distributed but are strategically positioned at locations where impacts are most likely to occur and where detection precision is most critical. The protective plate design incorporates local reinforcement and sensor placement at high-risk zones, providing enhanced measurement precision where needed while reducing sensor count in low-risk areas, thereby simplifying manufacturing.
Solution Approach 2:
The impact sensors serve multiple functions: detecting impact presence, determining impact location, assessing impact severity, and triggering appropriate safety responses. This multi-functionality reduces the need for separate sensor systems for each detection task, decreasing overall device complexity while maintaining high measurement precision through a unified sensor network.
3Speed
If real-time processing of sensor outputs is implemented to classify impact severity, then response time is improved, but use of energy and computational resources increases
Solution Approach 1:
The processing system implements partial real-time analysis by immediately evaluating sensor outputs against pre-stored impact characterizing data for rapid classification of clear-cut cases. Full comprehensive analysis is performed only when necessary, such as for borderline cases or when cumulative damage assessment is required. This selective processing approach maintains fast response times while reducing overall computational energy consumption.
Solution Approach 2:
Complex real-time computational analysis is replaced by comparing sensor outputs against pre-computed impact characterizing data stored in memory. Instead of performing heavy mathematical computations in real-time, the system uses pattern matching and threshold comparisons against previously analyzed impact scenarios, dramatically reducing processing energy requirements while maintaining rapid classification speed.
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
Enables vehicles to accurately assess the severity of impacts on the battery enclosure, allowing for timely and appropriate responses, such as stopping or continuing the journey, thereby enhancing safety by minimizing the risk of battery failure and ensuring occupant safety.
Implementation Method 1
an impact sensor arrangement, in particular comprising strain gauges
Implementation Method 2
an impact sensor arrangement, in particular comprising strain gauges and/or accelerometers
Data Source
AI summary
An impact with an underside of a battery enclosure of a vehicle is classified based at least on processing impact sensor outputs to generate battery impact classification data. The impact sensor outputs are received from an impact sensor arrangement associated with the underside of the battery enclosure, the impact sensor arrangement being configured to generate the impact sensor outputs in response to a deformation of the underside of the battery enclosure. The vehicle is caused to perform an action in response to the battery impact classification data.