The air compression system includes an air compressor and a detection device. A first pressure transducer is provided to measure an air pressure at an output port of the air compressor. A second pressure transducer in the detection device measures an air pressure in a channel of the detection device. A conduit in the detection device regulates an air flow to be compatible with that flowing through the inlet of the aerated object. The measurements from the first pressure transducer and the second pressure transducer are transmitted to and compared by a first control circuit of the air compressor, and an internal pressure of the aerated object is estimated. When the estimated internal pressure of the aerated object is smaller than a desired pressure, the air compressor pumps air into the object through the conduit of the detection device in a linear manner.

The air compression system includes an air compressor and a detection device. A first pressure transducer is provided to measure an air pressure at an output port of the air compressor. A second pressure transducer in the detection device measures an air pressure in a channel of the detection device. A conduit in the detection device regulates an air flow to be compatible with that flowing through the inlet of the aerated object. The measurements from the first pressure transducer and the second pressure transducer are transmitted to and compared by a first control circuit of the air compressor, and an internal pressure of the aerated object is estimated. When the estimated internal pressure of the aerated object is smaller than a desired pressure, the air compressor pumps air into the object through the conduit of the detection device in a linear manner.

A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.

A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.

A triple-band trigger tool for a tire-pressure monitoring system is disclosed. The tool body includes a 315 MHz transceiver circuit and a 315 MHz antenna electrically connected to each other, and the 315 MHz transceiver circuit is electrically connected to a control unit; the tool body also includes a 433 MHz transceiver circuit and a 433 MHz antenna electrically connected to each other, and the 433 MHz transceiver circuit is electrically connected to the control unit; the tool body also includes a Bluetooth transceiver circuit and a Bluetooth antenna electrically connected to each other, and the Bluetooth transceiver circuit is electrically connected to the control unit. Therefore, the triple-band trigger is able to perform a firmware programming operation on a TPMS sensor at 315 MHz, 434 MHz or Bluetooth frequency band.

A triple-band trigger tool for a tire-pressure monitoring system is disclosed. The tool body includes a 315 MHz transceiver circuit and a 315 MHz antenna electrically connected to each other, and the 315 MHz transceiver circuit is electrically connected to a control unit; the tool body also includes a 433 MHz transceiver circuit and a 433 MHz antenna electrically connected to each other, and the 433 MHz transceiver circuit is electrically connected to the control unit; the tool body also includes a Bluetooth transceiver circuit and a Bluetooth antenna electrically connected to each other, and the Bluetooth transceiver circuit is electrically connected to the control unit. Therefore, the triple-band trigger is able to perform a firmware programming operation on a TPMS sensor at 315 MHz, 434 MHz or Bluetooth frequency band.

Example systems, apparatuses and methods are disclosed for sensing a force applied by an external source in a fluid monitoring tube. An example system comprises a force sensing device and signal conditioning circuitry configured to be electrically coupled to the force sensing device. The example system further comprises a housing configured to enclose the force sensing device and the signal conditioning circuitry. The housing comprises a snap structure configured to attach the housing to a base plate and retain the force sensing device and the signal conditioning circuitry in the housing.

A method to calibrate a Weigh in Motion (WIM) sensor that is arranged in a road flush with a road surface for determining a force exerted on the road surface by a vehicle's wheel transgressing the WIM sensor uses an evaluation unit that calculates the wheel force upon receiving the vehicle's velocity and a distance signal from a first device fixed on the vehicle and coordinates the wheel force with a synchronized signal from the WIM sensor to generate a calibrate function for the WIM sensor. The evaluation unit continuously adjusts the wheel force to take into account one or more of wheel pressure, wheel temperature, wheel tilt and vehicle acceleration. A system employing the method includes the vehicle, the evaluation unit, the first device, a synchronization device such as a GPS unit, and sensors for one or more of pressure, temperature, tilt and acceleration.

A method to calibrate a Weigh in Motion (WIM) sensor that is arranged in a road flush with a road surface for determining a force exerted on the road surface by a vehicle's wheel transgressing the WIM sensor uses an evaluation unit that calculates the wheel force upon receiving the vehicle's velocity and a distance signal from a first device fixed on the vehicle and coordinates the wheel force with a synchronized signal from the WIM sensor to generate a calibrate function for the WIM sensor. The evaluation unit continuously adjusts the wheel force to take into account one or more of wheel pressure, wheel temperature, wheel tilt and vehicle acceleration. A system employing the method includes the vehicle, the evaluation unit, the first device, a synchronization device such as a GPS unit, and sensors for one or more of pressure, temperature, tilt and acceleration.

A tire tread detection apparatus and tire pressure detector setting apparatus with tire tread detection function are provided. The tire tread detection apparatus includes a body casing, a driving unit, a measuring member, a position member, and a sense member. The driving unit, the measuring member, and the positioning member are connected. The driving unit is applied for driving the measuring member to protrude outward from the body casing for measuring the tire tread depth of the tire. The sense member generates a measurement signal corresponding to the positioning member, such that the measurement signal indicates a tire tread depth value. Therefore, the tire tread depth is efficiently and accurately acquired.