18 results about "Smart Battery System" patented technology

Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

Intelligent lead-acid battery system capable of monitoring a parameter (e.g., voltage, temperature) of one or more battery cells of a lead-acid battery. In one implementation, the battery system includes a housing having a cells compartment, a battery monitoring system (BMS) compartment, and a wall disposed between the cells compartment and the BMS compartment. A first post and a second post are associated with a battery cell. The first post and the second post protrude through the wall between the cells compartment to the BMS compartment. A voltage sensor electrically couples to the first post and the second post to monitor the voltage of the battery cell. A temperature sensor can couple to the first or second or both posts. The intelligent AGM battery system can predict the battery module's state of health, state of charge, module status, power capability, life expectancy, etc.

The invention relates to the technical field of batteries, in particular to a new energy automobile intelligent battery system which comprises a box body, a power connection assembly and a detection box arranged on one side of the adjacent single batteries, and first connectors are elastically installed at the ends, away from each other, of a first sliding block and a second sliding block. A third joint is fixedly mounted on the first sliding block close to the fourth joint; the protection assembly comprises a cooling pipe slidably mounted in the detection box, an air bag is arranged between the cooling pipe and the bottom wall of the detection box, and second connectors are elastically mounted at the ends, away from each other, of the two first connectors respectively. A protection assembly is arranged on one side of a single battery, when the battery generates high temperature, a cooling pipe moves upwards to drive a first sliding block to slide, so that a first connector is separated from an electrode of the battery, the whole series circuit skips the battery under the condition that work is not affected, and when the temperature is too high, the battery is pushed into a recycling box below through a separation plate, and the battery is recycled. And the overall use safety of the battery is improved.

Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Various technologies and embodiments are presented to operate a two-phase machine. The two-phase machine is powered by a first phase circuit comprising a first string of battery cell devices electrically coupled to the machine via a first supply line and a first return line, and a second phase circuit comprising a second string of battery cell devices electrically coupled to the machine via a second supply line and a second return line. One or more processors can be configured to control operation of one or more switches in the first and second strings of battery cell devices, such that a first voltage provided by the first string of battery cell devices is 90° out of phase relative to a second voltage provided by the second string of battery cell devices. The two-phase machine can be a motor comprising a stator with a two-phase winding pattern.

The application relates to a battery data transmission method and system based on dynamic priority preemption time slots, which comprises the following steps: calculating the dynamic priority of a distributed node according to the data urgency, historical channel quality and basic priority of the distributed node; pre-empting the battery data transmission time slot according to the dynamic priority to perform battery data transmission; and performing a two-stage retransmission strategy to retransmit the battery data when the data transmission fails. The application breaks through the limitation of the fixed time slot allocation of the traditional time division multiple access communication strategy and adapts to the burst communication demand; when the wireless center node based on dynamic priority preemption performs time slot allocation and battery data retransmission, the communication conflict and real-time contradiction in the dense node scene can be effectively solved through software, the reliability, real-time performance and expandability of the system are significantly improved, and the application is suitable for intelligent battery system, electric vehicle, energy storage power station and other high-performance wireless center node application scenes.

Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

The application relates to a smart battery system with a built-in energy management module, comprising: a battery module assembled by multiple strings of battery cells through a precise pairing process; an integrated smart management mainboard integrated with a direct-current voltage stabilizing module, an energy management control unit, a BMS protection module, a data acquisition module and a main control MCU; a system power supply interface for connecting an external power line; a direct-current output interface for connecting an electric load; and a health display and alarm module for real-time display of a battery health state and implementation of graded alarm. The application completely internalizes the energy management function in the battery system, forms a smart system with one-to-one exclusive matching between the battery module and the energy management module, and thus the user does not need to equip an external electric energy supply device, and only needs to connect a power supply through a standardized interface to charge, thereby fundamentally eliminating the safety accidents caused by type mismatch, parameter mismatch and uneven quality of the battery and external devices in the traditional separated structure.

The invention relates to the technical field of automobile power distribution, and discloses a new energy vehicle self-adaptive adjustment low-voltage power distribution design system, which comprises an intelligent battery system LiBMS, an intelligent power distribution system IPDM and a vehicle control system VCU, and is characterized in that the intelligent battery system LiBMS comprises a lithium iron phosphate lithium ion battery cell and a battery processing unit; the intelligent power distribution system IPDM comprises a digital power distribution unit, a high-precision sensor network module and a data processing unit. Compared with the limitation of a traditional power distribution scheme under the extreme operation condition of a vehicle, especially the unstable switching of a power supply loop easily caused under the condition of surge of equipment current, the problem can be effectively prevented, the stability and safety of a low-voltage power distribution system of the whole vehicle can be remarkably improved, stable power supply under various working conditions can be ensured, and the power supply efficiency can be improved. And secondly, the intelligent power supply and distribution system not only realizes visual visualization of operation data, but also endows the system with the capability of dynamically adjusting parameters.

The chip-integrated intelligent battery system (CIBS) device allows an ultra-fast collection of high-fidelity battery data including, but not limited to, battery voltage, current, external and internal temperature, pressure, gaseous species, vibration and mechanical impact, during the cell operation from the moment the cell is manufactured. CIBS is integrated with actuator, microprocessor, data storage, data transmission, current sensor, voltage sensor, gas pressure sensor, gas species sensor, and power source leads, to provide instant feedback on various parameters inside the battery to assess the battery's performance. The data from CIBS is collected via an integrated or a discrete antenna and streamed wirelessly or through a wired system to a separate control device. Such a device can be part of or a discrete component of the battery management system.

One or more embodiments herein can facilitate charging and / or discharging of one or more units (e.g., battery cells and / or multi-cell battery clusters of battery cells) based at least in part on state of charge and / or state of health monitoring at one or more of the cell-level and / or cluster-level. An exemplary method can comprise monitoring, by a system operatively coupled to a processor, cell states of cells of a multi-cell battery cluster, and selectively determining, by the system, based on the cell states, a time-based order for electrically connecting the cells to an external apparatus for current flow between the external apparatus and the cluster. The cell states can be provided as a function of a cluster state of the cluster. The cell states can be provided as one or more of states of health of the cells or states of charge of the cells determined from the monitoring.

The chip-integrated intelligent battery system (CIBS) device allows an ultra-fast collection of high-fidelity battery data including, but not limited to, battery voltage, current, external and internal temperature, pressure, gaseous species, vibration and mechanical impact, during the cell operation from the moment the cell is manufactured. CIBS is integrated with actuator, microprocessor, data storage, data transmission, current sensor, voltage sensor, gas pressure sensor, gas species sensor, and power source leads, to provide instant feedback on various parameters inside the battery to assess the battery's performance. The data from CIBS is collected via an integrated or a discrete antenna and streamed wirelessly or through a wired system to a separate control device. Such a device can be part of or a discrete component of the battery management system.

Control strategies for an electric vehicle battery system that incorporate active cell temperature balancing are described. In an example, a method comprises employing, by a system operatively coupled to at least one processor, a smartcell battery system to supply power to one or more electrical systems of a vehicle, the smart cell battery system comprising a plurality of battery cells. The method further comprises controlling, by the system, operations of the battery cells in accordance with a control protocol that results in increasing a temperature of a subset of the battery cells based on the temperature being below a threshold temperature. In an example, the control protocol can include circulating current between the subset of battery cells and / or other battery cells excluded from the subset, actively discharging the subset of battery cells and redistributing the power to other battery cells excluded from the subset, and others.

Various techniques and embodiments are presented to operate a two-phase machine. A two-phase machine is powered by a first phase circuit including a first string of battery cell devices electrically coupled to the machine via a first supply line and a first return line and a second phase circuit including a second string of battery cell devices electrically coupled to the machine via a second supply line and a second return line. The one or more processors may be configured to control operation of one or more switches in the first string of battery cell devices and the second string of battery cell devices such that a first voltage provided by the first string of battery cell devices is 90 DEG out of phase relative to a second voltage provided by the second string of battery cell devices. The two-phase machine may be a motor including a stator having a two-phase winding pattern.

The invention provides an intelligent battery system, a vehicle and a battery safety management method. The intelligent battery system comprises a battery sensing unit, a battery control unit and a safety protection unit, the battery sensing unit is used for collecting battery state data of a target battery; the battery control unit is used for determining a diagnosis result, a safety state parameter, control decision information and a thermal runaway occurrence probability of the target battery based on the received battery state data; and the safety protection unit is used for performing thermal runaway protection on the target battery based on the thermal runaway occurrence probability, performing collision protection on the target battery in response to the collision of the vehicle, and performing heat adjustment on the target battery in response to the charging and discharging state of the target battery. Through the system, the real-time performance and the accuracy of safety management of the vehicle battery are improved, and the safety of the vehicle battery is further improved.

The invention relates to the technical field of electrolytic capacitor activation and repair, in particular to a vehicle-mounted charger electrolytic capacitor activation method and device.The method comprises the steps that in response to a charging request of a vehicle intelligent battery system, a vehicle is controlled to be powered on so as to judge whether the charging request is a storage battery intelligent charging request or a fast-charging non-discharging charging request or not; if the charging request is a storage battery intelligent charging request or a fast-charging and non-discharging charging request, the voltage of the electrolytic capacitor is charged to a certain threshold value so as to repair the electrolytic capacitor until the vehicle meets a certain power-off condition; and if the charging request is not the storage battery intelligent charging request or the fast-charging and non-discharging charging request, the vehicle is charged based on the charging request until the vehicle meets a certain power-off condition. Therefore, the technical problems that in the related technology, condition dependence is high, a fast-charging and non-discharging charging request cannot be met, repairing efficiency is low, environment adaptability is poor, and the method is difficult to adapt to the scenes that the vehicle is not used for a long time are solved.