A system for controlling vehicle power using big data is provided. The system includes a big data server that receives vehicle driving related data, processes and analyzes the received data to generate a driving power pattern of the vehicle, and stores the driving power pattern. A vehicle controller determines whether to limit charging/discharging power of a battery based on continuous charging/discharging time or an accumulation amount of continuous charging/discharging power of the battery and calculates battery charging/discharging power to be limited based on the driving power pattern received from the big data server when the charging/discharging power of the battery is limited.

The present application provides a control method for a vehicle air conditioner, including: performing remote control in advance, wherein performing remote control in advance includes performing remote timing control in advance. Performing remote timing control in advance includes starting the air conditioner t0 minutes before the vehicle is started, so as to perform pre-cooling or pre-heating, wherein t0 is a constant. Compared with a vehicle air conditioner in the prior art, the vehicle air conditioner in the present application performs, by a configured step of performing remote control in advance, pre-cooling or pre-heating before the vehicle is started, so as to control an interior temperature of the vehicle in advance, such that when a user enters the vehicle, a comfortable ambient temperature is provided, thereby providing a comfortable ambient for a vehicle owner and a passenger.

A method for inspecting a traction power network is provided based on a platform which includes a device body of an inspection device for a traction power network apparatus. A power switch is disposed on an outer surface of the device body near a front end thereof, in which a sensitive galvanometer is disposed on the power switch. One end of the sensitive galvanometer is fixedly connected to a temperature sensor coupled to a controller. The controller is coupled to a 4G first communication module coupled to a 4G network. The 4G network is coupled to a processing platform coupled to the 4G network through a 4G second communication module. Other methods and structures are combined to avoid deficiencies in the prior art, such as poor speed and long time in the temperature signal transmission and avoid a controller without meeting requirements for efficient and timely temperature signal transmission.

A power management system for a vehicle includes a first battery monitoring module configured to monitor a first state of charge (SOC) of a first battery of the vehicle. The first battery has a first nominal voltage. A second battery monitoring module is configured to monitor a second SOC of a second battery of the vehicle. The second battery has a second nominal voltage that is greater than the first nominal voltage. A control module is configured to, using a direct current (DC) to DC converter, selectively charge the second battery with power from the first battery until the second SOC of the second battery is greater than or equal to a predetermined SOC.

Systems and method for charging the battery of an electric vehicle (EV) and climatically controlling the inside cabin of the electric vehicle are described. The methods include detecting that an EV is electrically connected to a charging station and then determining the current temperature inside the EV. Climatic user preferences can be retrieved and used to determine a desired climate inside the cabin when the user returns to the vehicle. Using the desired climate inside the cabin to determine an estimated charge, where the estimated charge is sufficient to both obtain the desired climate inside the cabin by the time the users return and have the battery of the vehicle charged to an acceptable level.

Methods and systems are provided for a battery thermal management system. In one example, a method includes increasing coolant to a battery above a currently demanded battery cooling in response to a predicted battery temperature exceeding a threshold temperature at an upcoming location.

A vehicle battery system includes a battery, storage, and one or more controllers. The storage maintains data defining power outputs for the battery at a plurality of predefined combinations of temperature and state of charge. The one or more controllers repeatedly update the data for some of the plurality based on temperatures and states of charge repeatedly encountered by the vehicle, update the data for other of the plurality based on data from a remote server, and discharge the battery according to the data for the some and other of the plurality.

Methods and systems for cooling an electric energy storage device are described. In one example, a temperature set point of a cooling system is reduced before a vehicle reaches a location along a travel route where load on the electric energy storage device is expected to be greater than a threshold load. By lowering the temperature set point, it may be possible to maintain a temperature of the electric energy storage device below a threshold temperature.

A computing device for determining a revised flight plan as a function of battery temperature in an electric aircraft is disclosed. The computing device includes a battery model that may receive a flight plan and communicate with a machine-learning model, which may be trained as a function of a training set correlating data describing the flight plan to battery temperature labels. The battery model may generate a temperature output using the machine-learning model and determine the revised flight plan using the machine-learning model if the temperature output exceeds a threshold temperature. The computing device may receive the temperature output from the battery model and compare the temperature output to the threshold temperature.

Systems, methods, devices, and models for range estimation and analysis in battery powered vehicles are described. Energy consumption over vehicle trips is collected, to evaluate weighting factors for a weighted sum. The weighted sum is evaluated based on determined weighting factors and expected trip data, to determine an energy consumption of a trip or trips of a vehicle. Determined energy consumption for trips is used for evaluating suitability of the vehicle for performing the trips.