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Artificial intelligence (AI) has become an indispensable tool in modern vehicle development, particularly for complex systems like battery-electric energy storage. Porsche is leveraging AI and machine learning to analyze the vast amounts of data generated by advanced sensors, thereby gaining reliable insights into component behavior and interactions within its high-voltage systems.
Key Highlights
- Data Analysis with AI: Porsche uses AI to process extensive sensor data for understanding complex vehicle systems.
- Battery Development Insights: AI helps engineers analyze high-voltage battery influences and optimize components.
- Anomaly Detection: Algorithms identify implausible battery behavior and cellular charge imbalances during development.
- Predictive Aging Analysis: Modern analysis methods forecast battery aging in customer vehicles, guiding optimization.
- Proactive Driver Alerts: Porsche proactively informs drivers of relevant anomalies via the MyPorsche app.
The high-voltage battery is a complex system influenced by various internal and external factors. Porsche engineers utilize data analysis and AI to visualize these influences and their effects on the energy system. This knowledge is crucial for developing improved components and systems for Porsche customers. AI specifically aids developers in detecting implausible behavior within a battery. Algorithms analyze the balancing behavior of individual cells and the entire battery during the development stage. Balancing refers to the charge balance between a battery module’s cells. Deviations from expected values enable faster conclusions about causes and underlying processes, simultaneously enhancing data quality in development for more reliable findings from customer vehicles.
Beyond known battery aging drivers, modern analysis methods, coupled with state-of-the-art data analysis and physicochemical models, facilitate forecasts and analyses of high-voltage battery aging in the customer fleet. Understanding these various aging influences through data analysis allows system developers to optimize operating strategies, considering criteria such as range, charging time, system performance, weight, durability, and consumption.
Preventive anomaly detection employs intelligent algorithms to extract behavioral changes in the battery from online data. These detected anomalies are then analyzed, deciphered, and evaluated in the cloud. Should a relevant anomaly occur, Porsche proactively informs the driver through the MyPorsche app, providing specific instructions. This method can individually evaluate the data of each battery cell. Preventive anomaly detection aims to ensure vehicle reliability and performance while predicting potential limitations, making it a central element of future quality assurance efforts at Porsche.
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