Sleep Current Optimization in EV Battery Management Systems

Cell monitoring device and battery management system that enables high-speed wireless communication between the device and a gateway while maintaining power efficiency. The device operates in both active and sleep modes, with the gateway device controlling communication between the device and the battery management system. When active, the device transmits detailed cell state data through a high-speed wireless communication scheme, while in sleep mode, it transmits periodic heartbeat signals to maintain system integrity. This dual-mode approach enables the battery management system to communicate with the cell monitoring device while conserving power.

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Automotive battery management system sleep control method that optimizes battery protection through a dynamic sleep duration adjustment strategy. The method determines the optimal sleep duration based on the probability of battery anomalies, rather than a fixed delay time. When battery anomalies are detected, the system delays sleep to prevent premature disconnection, while maintaining a higher sleep duration for critical battery states. This approach balances energy efficiency with battery protection, enabling the battery management system to maintain optimal operational conditions while minimizing power consumption.

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A current monitoring system for electric vehicles that enables precise detection of power drain during vehicle operation. The system utilizes the vehicle's intelligent power distribution system to monitor the sleep current of each electrical circuit, automatically detecting abnormal drain levels even when other vehicle systems are dormant. This allows the system to pinpoint the source of excessive power consumption, enabling proactive maintenance and reducing battery degradation.

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A battery management system (BMS) sleep control method that optimizes power management through advanced analysis of dynamic power cycles and system behavior. The method employs machine learning algorithms to predict power consumption patterns and identify optimal sleep states based on historical data. It analyzes both static and dynamic power consumption characteristics, including peak values, average power consumption, and power fluctuations, to determine the most effective sleep strategy. The method then applies this analysis to generate personalized sleep control parameters, enabling more accurate and adaptive power management.

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Vehicle low-power sleep control method and its control system for electric vehicles to reduce battery quiescent current consumption. The system enables ultra-low power consumption mode by dynamically controlling power consumption of critical vehicle systems, particularly power-hungry components like the DCDC converter. When requested, the system automatically shuts down these components, significantly reducing the low-voltage battery's power consumption. This approach enables extended battery life while maintaining vehicle performance.

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Monitoring battery state in electric vehicles during sleep mode using CAN network communication. The system enables battery state monitoring even when the vehicle's control unit is in sleep mode, by periodically waking the CAN network controller and requesting battery data from an external monitoring terminal. The monitoring terminal continuously sends battery state data to the CAN network controller, which then transmits it to the vehicle's control unit. This approach prevents battery degradation during extended sleep periods by continuously monitoring the battery's state.

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Battery management system for electric vehicles that optimizes energy efficiency during sleep mode by integrating a current-limiting circuit with a main power circuit. The system comprises a current-limiting circuit with a first controllable switch and a current-limiting resistor, a main circuit with a second controllable switch, and a battery management system control unit. When the system enters sleep mode, the first controllable switch is enabled, and the second controllable switch is disabled, allowing the battery management system to maintain continuous power delivery to the vehicle's load while reducing battery capacity degradation during sleep periods.

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Battery management system for lithium-ion batteries that optimizes power delivery during sleep mode. The system maintains continuous power supply to the vehicle load while the battery management system is in sleep mode, reducing battery capacity degradation and enabling continuous vehicle operation. The system employs a dedicated power circuit that automatically switches to active mode when the battery management system enters sleep, ensuring uninterrupted vehicle operation.

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Vehicle control method, device, vehicle, and equipment to prevent battery discharge during vehicle dormancy and prevent ignition hazards. The method and device implement a power management system that monitors and controls vehicle power state transitions to prevent excessive sleep current drain and battery discharge. The system detects vehicle dormancy and initiates a controlled sleep mode that regulates power consumption during this period, ensuring safe and efficient battery operation.

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Battery management system that optimizes charging and discharging of vehicle batteries based on real-time power consumption patterns. The system monitors battery state-of-charge (SOC) and charging efficiency over a predetermined time window during vehicle sleep mode, then dynamically controls the charging circuit to maintain optimal SOC levels while preventing excessive charging. This approach enables more efficient battery management by avoiding premature discharging during sleep mode, while still allowing charging during normal operating conditions.

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Battery management system for electric vehicles that optimizes power consumption while maintaining system stability. The system incorporates advanced power management techniques to minimize power drain while ensuring reliable operation of critical components. This enables the battery management system to maintain optimal performance characteristics while reducing the risk of component damage from power fluctuations.

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In-vehicle control device that enables power-saving operation through optimized current management while maintaining reliable system operation. The device comprises a load part that operates on battery power, a reverse connection protection element in the power path, and a current abnormality detection unit. The protection element prevents reverse current flow when the battery is connected in reverse, while the detection unit monitors current levels to identify abnormal conditions. This integrated approach eliminates the need for separate circuits for detecting reverse current and determining the ECU responsible for it, thereby reducing circuit scale and improving system reliability.

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Battery management system for electric vehicles that integrates advanced power control and state-of-charge monitoring. The system comprises a main control module, a signal acquisition circuit, a power signal processing circuit, and a charge and discharge control circuit. The main control module controls the acquisition, processing, and control of the power signal, while the power signal processing circuit regulates the motor's operating state. The charge and discharge control circuit manages the battery's state-of-charge. This integrated architecture enables precise power management and state-of-charge monitoring in electric vehicles.

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A sleep control system for vehicle controllers that optimizes power consumption by dynamically regulating the sleep state. The system integrates a power interface, MCU, working module, wake-up source, and System Basis Chip (SBC) into a single component. The SBC implements an automotive ECU, enabling the system to manage the controller's power consumption through intelligent sleep management. The system monitors the controller's CAN bus, door status, and other critical parameters to determine when to transition the controller into sleep mode. This enables the controller to maintain its functionality while conserving battery power.

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Battery management system for electric vehicles that enables efficient power distribution between the battery and onboard systems by integrating a single MOSFET-based power management circuit. The system uses a single MOSFET controller that controls the switching between two parallel MOSFETs, one for the battery and one for the onboard systems, allowing for optimized power distribution and reduced energy consumption. The MOSFET controller is connected to the battery's positive terminal and the onboard device's positive terminal, with the MOSFETs' drain connecting to the onboard device. This integrated design eliminates the need for separate power sources while maintaining power isolation between the battery and onboard systems.

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A lithium battery management system that enables parallel operation of lithium-ion batteries while preventing simultaneous charging and discharging. The system achieves this through a novel architecture that allows battery packs to operate independently without direct electrical connection, while still enabling a single-button activation for all modules. This enables the system to achieve ultra-low power consumption while maintaining the ability to turn on all modules simultaneously.

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Energy management system for electric vehicles that provides redundant power supply for low-voltage components while balancing battery pack performance. The system integrates multiple equalization DC-DC converters, a sampling module, and a control module to manage the battery pack's voltage and current. The converters distribute power between the low-voltage DC bus and the vehicle's electrical systems, ensuring continuous operation even when the battery pack is depleted. The control module continuously monitors battery state, vehicle load, and system conditions to optimize equalization and charging operations.

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Controlling a DC power converter in an electric vehicle to optimize battery charging and prevent excessive converter operation. The converter is connected between the high-voltage power source and the low-voltage battery through a switch module. The module controls converter operation based on real-time battery state monitoring, dynamically switching between charging and discharging modes to balance converter life and battery charging needs.

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Operating a vehicle charging system to optimize low-voltage battery charging based on system parameters. The charging system monitors the state of charge of both the low-voltage battery and the traction battery, and automatically enters a sleep mode when the low-voltage battery reaches a predetermined state of charge threshold. During sleep, the charging system adjusts its charging parameters based on the current state of the low-voltage battery, enabling more efficient charging of the low-voltage battery while maintaining optimal charging conditions for the traction battery.

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Intelligent maintenance for new energy vehicles' low-voltage batteries, which enables safe charging without power loss. The system detects charging activity and transitions the low-voltage battery to charging mode. The charging process includes constant current, voltage control, and pulse control stages. A dormant maintenance mode can be activated through the vehicle's audio/entertainment system, ensuring the battery remains charged while preventing capacity loss.

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