Battery Monitoring for EV Thermal Protection

Detecting thermal events in parallel-connected battery cells of an electric vehicle battery pack using voltage rebound monitoring. The technique involves confirming a voltage rebound in a group of parallel-connected cells as a faster and more effective way to detect thermal events compared to just monitoring voltage drop below a threshold. The voltage rebound is a characteristic voltage behavior during thermal propagation in parallel cells where the voltage rebounds slightly after an initial drop. Detecting this rebound along with other conditions like high temperature or pressure confirms a thermal event.

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Predicting and preventing thermal runaway in battery packs used in vehicles to prevent cascading cell failures. The method involves monitoring cell parameters like voltage, current, and temperature during charging to determine the charging response. This response is then analyzed to estimate the likelihood of thermal runaway. The vehicle operation can then be controlled to prevent runaway based on this predicted risk.

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Battery monitoring system for electric vehicles that detects potential cell imbalances and thermal runaway risks by ranking cell voltages and analyzing the ranking differences over time. The system uses a sensor to get cell voltages, sorts them into a ranking, repeats the ranking at regular intervals, and compares the changes. If a cell's ranking consistently lags behind, it indicates potential imbalance. If adjacent cells' rankings increase while the lagging cell's stays low, it indicates thermal runaway risk. The system uses this analysis to control battery operation and predict thermal runaway.

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Battery management system that can detect battery degradation and abnormal behavior more accurately than existing methods. The system estimates future battery voltage based on current and initial voltage during a period, then compares it to actual voltage during the next period. If the difference exceeds a threshold, it indicates abnormality. The system learns a relationship between current and voltage using an algorithm, then updates it periodically. This allows estimating voltage for replaced batteries using the stored algorithm.

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Early warning system to detect thermal runaway risk in electric vehicles before it becomes critical. The system monitors cell voltages over time to identify voltage characteristics indicative of thermal runaway. It divides the cell voltage data into time windows based on collection timing, extracts voltage characteristics from each window, and checks if they meet thresholds to determine if the vehicle has a runaway risk. If so, it alerts the user to replace the battery before runaway occurs.

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New energy vehicle charging safety monitoring system that uses Zigbee communication for real-time monitoring of battery data during charging. The system has a charging module, communication module, processor, cloud storage, real-time monitoring, and alarm modules. It collects battery voltage, temperature, and current during charging and sends the data to the cloud for storage and analysis. The real-time monitoring module displays battery status and estimates SOH. Historical data comparison helps identify battery issues. The alarm module alerts on abnormal data. This allows proactive detection and resolution of charging-related battery problems.

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Online monitoring method for vehicle lithium batteries to improve safety and longevity by continuously tracking battery parameters like voltage, current, and temperature to accurately estimate battery power and remaining capacity. The monitoring allows proactive management of charging, discharging, and temperature to optimize battery performance and prevent issues like overcharging, overdischarging, or overheating.

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Smart battery monitoring system to improve battery reliability, performance, and lifespan. The system uses a central controller connected to a battery pack monitoring host and a battery management system host. The battery pack host has modules to measure voltage, temperature, internal resistance, and SOC/SOH of individual batteries. The battery management host monitors pack voltage, current, and temperature. The controller, monitoring center, and cloud server provide real-time monitoring, protection, and early warning against issues like thermal runaway, open circuits, overvoltage, etc. The system enables comprehensive battery performance analysis, balancing, and optimization to extend battery life.

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Real-time monitoring and control of individual rechargeable battery cells in a battery bank to detect and prevent faults, optimize performance, and extend life. The method involves measuring voltage, current, and temperature of each cell using onboard sensors, and sending the data to a central unit. The unit calculates cell state, health, charge/discharge times, and replacement time. It stores the data and compares against ranges. If outside, it initiates preventive/corrective actions like regulating energy flow or alerting. This allows precise real-time monitoring and control of each cell to anticipate and address issues before they spread to the bank.

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Detecting and mitigating thermal runaway in vehicle battery packs to prevent cell fires. The method involves monitoring cell voltage and temperature in a vehicle battery pack. If a cell short occurs, it analyzes the voltage signal using techniques like wavelet transforms and power spectra to detect rapid voltage modulations and energy releases indicating thermal runaway. If runaway is confirmed, it initiates actions like stopping charging, releasing pressure, cooling, warning, and contacting emergency services.

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Monitoring system for detecting thermal runaway in rechargeable battery packs using sensors on the heat transfer plates between cells. The sensors monitor parameters like wave attenuation, temperature, or impedance to detect if the plate temperature exceeds a threshold indicative of a runaway event. This allows earlier detection and mitigation of thermal runaway compared to just monitoring the cells themselves. The sensors can be ultrasonic, temperature, or thin wire circuits.

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Detecting thermal runaway of battery cells in electric vehicles to quickly alert occupants of potential fire hazards. The system uses multiple sensing lines to monitor battery voltages. Main lines connect to individual cells to measure their voltages. Auxiliary lines connect to input and output terminals of the battery module. By comparing the sum of cell voltages to the module voltage, abnormalities in cells or main lines can be detected. If the cell sum and module voltages match, all is normal. If they differ, further checks are made. If module voltage is normal, the main lines are faulty. If module voltage is abnormal, the cells have runaway. This rapid detection allows warning occupants before serious damage occurs.

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Real-time monitoring system for batteries in electric vehicles like locomotives to detect battery health and predict failure. The system uses a data acquisition unit with separate modules for measuring battery voltage, current, and temperature. It connects to the battery terminals and samples the voltage cyclically. The data is converted and sent wirelessly to external equipment. The modules with current limiting resistors allow selective voltage acquisition by switching. This allows monitoring individual battery cells to diagnose problems.

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Monitoring battery health of a vehicle without discharging the battery to determine if it's degrading or approaching failure. The method involves analyzing the battery voltage immediately after engine start. By comparing the post-start voltage to a baseline, it can indicate battery health without needing to fully discharge the battery. This allows in-vehicle, real-time monitoring of battery health independent of charging and SOC levels.

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Accurate battery monitoring using shunt resistors to measure current and temperature compensation to improve reliability. The method involves measuring the voltage drop across two shunt resistors in series or parallel with the battery bus bar. By converting the voltage drops to digital values and applying calibration data, it calculates the current through each shunt. This compensated current difference indicates the battery state. Temperature compensation uses predicting the shunt temperature rise based on current and time. Synchronization ensures fast currents are measured at the same time.

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Battery monitoring system that enables synchronous acquisition of voltage and current data from batteries using wireless communication without wired connections. The battery monitoring device sends a voltage measurement instruction wirelessly to the battery measuring devices at regular intervals. The battery measuring devices acquire voltage and current simultaneously when they receive the instruction. The battery monitoring device receives the voltage data wirelessly and the current data from the battery measuring devices via wireless communication. This allows synchronous acquisition of voltage and current data without needing wired connections.

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Battery connector with integrated thermal cutoff to detect overtemperature and overcurrent conditions in battery packs and cells. The connector has a thermal switching device, like a temperature-sensitive resistor, mounted on the connector body and thermally coupled to the battery terminal. If the battery temperature exceeds a threshold, the switching device alters the signal conveyed by the connector to indicate overtemperature. This allows a battery management system to detect and respond to overheating without additional sensors.

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Accurately calculating battery state of charge (SOC) and preventing overcharging/discharging to improve battery safety and system reliability. The method involves calculating the real battery voltage reflecting internal resistance voltage drop during charging/discharging. This is done by measuring current, temperature, and using internal resistance tables. SOC is then calculated using the real voltage. This improves accuracy compared to just using open circuit voltage.

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Real-time online monitoring system for lithium iron phosphate batteries in frequency regulation energy storage systems to accurately assess battery aging in real-time without removing the batteries. The system uses a control module connected to the battery pack that calculates SOH (State of Health) based on charging parameters like voltage, current, and time. It also has features like equalization to balance voltages and cooling fan control to prevent overheating. By constantly tracking aging indicators like cycle count and SOH, the system provides real-time battery health monitoring without requiring battery removal.

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Battery management system and method to monitor battery health and identify and disconnect aged cells in a battery pack. The system measures internal resistance of each cell when the pack is charged/discharged, calculates resistance using voltage and current differences, and cuts off cells with resistance above a threshold. This allows detecting and isolating degraded cells before they fail, improving pack reliability.

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