Disclosed herein is a method for estimating a power of a fuel cell. The method includes estimating a predictive current at a predetermined voltage in a controller, based on a present current-voltage characteristic of the fuel cell while the temperature of the fuel cell is being raised, estimating a first power, based on the estimated predictive current and the predetermined voltage, after the step of estimating the predictive current, estimating a second power based on a cell voltage rate while estimating the first power, and calculating an available power of the fuel cell, based on the first power and the second power, after the step of estimating the first power and the step of estimating the second power are performed.

A battery management system and method for performing a battery state and, optionally, health parameter observation is disclosed, in particular, cell state-of-charge (SOC) observation, with two redundant, independent and dissimilar lanes. Specifically, a SOC determination in a first one of the lanes is based on Coulomb Counting. The other lane employs a different algorithm than Coulomb Counting. In some embodiments, a battery health observation is further performed independently by the two lanes, wherein the first lane employs an aging model and the other lane a different (dissimilar) algorithm. On the basis of state and health observation, state (state of function) of the battery system can be predicted to determine a range of flight in accordance with a predetermined flight profile.

The present invention relates to a battery failure prediction method and system. The invention has particular application to the prediction of vehicle battery failure and will be described with particular reference to that application. However, the invention has more general application.

An embodiment of a semiconductor package apparatus may include technology to determine history information for a battery, predict a peak power capacity of the battery based on the history information, and set a peak power parameter based on the predicted peak power capacity.

A method and apparatus for determining a state of health of a battery in a vehicle includes determining a state of charge of the battery; determining a battery temperature and a cranking temperature; obtaining a cranking signal from the battery when the battery is discharged during cranking of a combustion engine of the vehicle; determining one or more cranking type classes based on the determined battery temperature and the determined cranking temperature; determining battery parameters from the cranking signal; determining the state of health of the battery from the battery parameters, a vehicle identifier and historical battery parameters determined in a historic state preceding the current state; and outputting the state of health. Determining the battery parameters from the cranking signal includes: obtaining an intermediate cranking signal based on the cranking signal and a window function; and determining the battery parameters from the filtered cranking signal.

A server (16) arranged to automatically detect replacement of a vehicle battery (6) associated with a vehicle engine (5) comprises: a communications device (20) configured to receive vehicle battery voltage measurements from a telematics device (10) connected to or incorporating a voltage monitoring unit for the vehicle battery (6); and one or more processors (18) configured to process the vehicle battery voltage measurements. The processor(s) (18) monitor the voltage measurements in a first time window corresponding to an engine off state and assess when the voltage measurements in the first time window indicate a step change in voltage magnitude at a given time. The step change is then used to automatically identify a vehicle battery replacement event.

The present invention relates to a power management system of a pure electric vehicle powered exclusively by batteries which allows the vehicle to carry a load of up to 13 tons, where the system of the present invention is provided with five blocks: a battery system (SBAT) (3), a control and power logic unit (ULCP) (4), a traction system (STR) (5), an auxiliary system (SAX) (36), and a driver's control panel (PCM) 81, where such blocks are interconnected by two buses, CAN bus (128) and Digital/Analogical BDA (129). The battery system has two battery banks (1) and (2) in parallel which are monitored by the BMS (76). The BMS (76) checks whether the voltages at the output of the batteries are the same as the input of the inverter (8) and manages the use of the battery banks in conjunction with the eVSI (73) by operating the battery bank (1) or the battery bank (2) or both depending on the load conditions of each bank. The eVSI (73) coordinates the control and power logic unit (ULCP) (4) which, through its components, controls the flow of energy between the battery banks, the traction system (STR) (5) and the auxiliary system (SAX) (36).

An electronic device includes a communication unit that communicates with a battery, a storage unit that stores a first identification information of the battery, and a determination unit that determines whether the communication unit is capable of performing a predetermined communication with the battery, in a case where a second identification information of the battery received from the battery is matched with the first identification information stored in the storage unit.

A system and method is disclosed for detecting remaining battery voltage or capacity in an infusion device and generating alarms based on the detection. The battery lifetime extension method includes providing an infusion device that derives its power from a rechargeable battery. The infusion device may derive its power from a rechargeable battery. Furthermore, the infusion device receives, at predetermined intervals of time in real-time sensor data comprising: a voltage, a change in the voltage over the predetermined interval of time, an average current, a temperature, and a remaining voltage or capacity reported by a battery gas gauge integrated circuit (“IC”) associated with the rechargeable battery. An improved and customized neural network model utilizes the sensor data to determine an indicia of the actual remaining voltage or capacity of the rechargeable battery in real-time. The indicia may be used to lengthen and/or abate ongoing medical infusion therapy.

A method for monitoring a motor vehicle including an automated driving function, including differing modes of operation for bringing the motor vehicle to a standstill, at least one energy store, in particular a battery, supplying at least one consumer which is able to bring the vehicle to a standstill, a respective load profile being assigned to the respective mode of operation, which usually occurs in this mode of operation upon activation of the consumer, at least one characteristic variable of the energy store being predicted as a function of at least one of the load profiles, and the mode of operation associated with the load profile and/or the automated driving function being unblocked, blocked, left or influenced as a function of the predicted characteristic variable of the energy store.