CN204904012U - Online measurement and control device of electric automobile power drive system - Google Patents
Online measurement and control device of electric automobile power drive system Download PDFInfo
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- CN204904012U CN204904012U CN201520479460.7U CN201520479460U CN204904012U CN 204904012 U CN204904012 U CN 204904012U CN 201520479460 U CN201520479460 U CN 201520479460U CN 204904012 U CN204904012 U CN 204904012U
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Abstract
The utility model provides an online measurement and control device of electric automobile power drive system, observe and control subsystem, real -time data analysis and characteristic curve on line and compare the auxiliary network subsystem including real -time online diagnosis subsystem with rather than the whole car data monitoring subsystem of the CAN bus that is connected, sensor, real -time online diagnosis subsystem includes MCU signal processing and the control unit to and rather than the memory cell who is connected, the whole car data monitoring subsystem of CAN bus includes electric automobile's CAN bus, the sensor observes and controls the subsystem on line and includes the compound passageway input unit of ADC input unit and GPIOSIO. The utility model discloses the data instrument support that car technical identification, the performance analysis of typical case's operation car etc. Provided the deep layer researches and develops, puts in order to implementation to electric automobile's the observing and controlling of online motor power, power drive system, can be right the high grade of relevant field product, quick, the low -cost production impetus of implementing.
Description
Technical field
The utility model relates to a kind of electric automobile measure and control device, especially a kind of electric drive system for electric vehicles online monitoring method device is related to, electric automobile sampling monitoring vehicle, the ground electric machine frame monitoring platform of electric vehicle engineering checking vehicle, operation can be installed on online, for on-line handling, off-line analysis, remote monitoring provide Data support.
Background technology
Present development or test power drive system adopt mode to be test on fixing motor observing and controlling stand, the enterprising walking along the street examination of state verification car is installed on after test, road examination preliminary engineering teacher carries oscillograph, the instruments such as multimeter carry out electric drive trains whole-car parameters of unifying and carry out matching and debugging, road is then given to try, after feedback of pinpointing the problems, according to case study, post debugging is solved, because of road examination personnel often non-specialized-technical personnel, especially profound implication problem is often difficult to find, and due to motor, to intend true observing and controlling stand often too expensive, the project that a lot of monitoring and control unit should complete all is ignored and brings approach test ring joint into, and trial work condition in road is quite complicated, a lot of transient state, burst, imply, the fault of many condition association can be passed to vehicle in use, the potential safety hazard Ye Shi producer product implementation cycle is not only caused to lengthen, with high costs.
Utility model content
For the operating condition of electric drive system for electric vehicles complexity, complicated problem troubleshooting procedure, high instrument cost cost, the utility model provides a kind of electric drive system for electric vehicles online monitoring method device, real-time, online, long-time, continuous, the synchro measure collection of electric drive system for electric vehicles parameter can be applied to, compression stores, Internet Transmission, data acquisition under making road examination become various operating mode, engineering technical personnel are as if on the spot in person, quick disposal is made to problem, more can be found the transient problems of the burst of implying by data analysis.Its technical scheme is as described below:
A kind of electric drive system for electric vehicles online monitoring method device, comprise real-time online diagnostic subsystem and coupled CAN car load Data monitoring subsystem, sensor online monitoring method subsystem, real-time data analysis and characteristic curve comparison auxiliary network subsystem, described real-time online diagnostic subsystem comprises MCU signal transacting and control module, and coupled storage unit, described CAN car load Data monitoring subsystem comprises the CAN of the electric automobile be connected with control module with MCU signal transacting, described sensor online monitoring method subsystem comprises the ADC input block and GPIO/SIO composite channel input block that are connected with control module with MCU signal transacting.
The input signal source of described ADC input block comprises by Hall busbar voltage sensor, Hall bus current sensor, Hall battery voltage sensor, Hall charging current sensor, Hall U phase voltage sensor, Hall U phase current sensor, Hall V phase voltage sensor, Hall V phase current sensor, Hall W phase voltage sensor, Hall W phase current sensor, two analog temperature sensors, two digital temperature sensors.
The input signal source of described GPIO/SIO composite channel input block comprises power motor torque measurement sensor, rotating speed measuring sensor, outer corner measurement sensor, cooling water flow survey sensor.
Described MCU signal transacting is undertaken communicating and parameter maintenance by RS232C, RS485 serial port and other equipment with control module.
Described memory storage comprises NORFLASH expansion interface, NANDFLASH expansion interface, SD deck expansion interface.
Also comprise temperature detection sensor, described temperature detection sensor is connected with control module with MCU signal transacting, for detecting metering circuit substrate temperature to be carried out the drift of compensation for calibrating errors sensitive circuit temperature by MCU.
Described storage unit comprises EEPROM, SRAM, NORFLASH, NANDFLASH, described EEPROM is setting parameter region, and SRAM is data run district, and NORFLASH is extender district, NANDFLASH is mass data storage district, in order to non-volatile recording collection site data.
Described real-time data analysis and characteristic curve comparison auxiliary network subsystem comprises online monitoring method additional sensor data, CAN obtains finished vehicle electronic data, additional two-dimensional inclination angle sensing, GPS location sensing and manual intervention logging data.
Described CAN car load Data monitoring subsystem is used for on-line checkingi EMS power drive system, VMS whole-control system, BMS battery management system and panel board, hydraulic booster, air pump gating state data.
According to the electric drive system for electric vehicles online monitoring method method that above-mentioned electric drive system for electric vehicles online monitoring method device carries out, step is as described below: after device starts, the data of CAN car load Data monitoring subsystem and sensor online monitoring method subsystem are sent to real-time data analysis and characteristic curve comparison auxiliary network subsystem by real-time online diagnostic subsystem, namely the basic parameter of setting is first read, then DC bus-bar voltage is read, electric current, read charged state and the electric current of battery, read acceleration condition, carry out temperature collection, then motor winding is read, bearing temperature, read DC bus-bar voltage subsequently, electric current, then moment of torsion is read, rotating speed, corner reads, high speed acquisition RAM data buffer storage, to abnormality ruling, then real-time online diagnostic subsystem is assessed storage resources, the storage of FLAC lossless date-compress is carried out at real-time data analysis and characteristic curve comparison auxiliary network subsystem.
Described device gathers the DC bus of electric automobile or power drive system monitoring and control unit, accessory power supply, battery charges, the voltage of power motor phase line, electric current, power motor moment of torsion, rotating speed, corner, cooling water flow, and described portion temperature, acceleration condition etc., for on-line handling, off-line analysis, remote monitoring provides Data support, the utility model implements the online power motor observing and controlling to electric automobile, power drive system is researched and developed, car load technical identification, typical case's operation car performance analysis etc. provides the data tool of deep layer to support, the high-quality of meeting to described association area product, fast, low cost is implemented to produce impetus.
Accompanying drawing explanation
Fig. 1 is the system chart of described electric drive system for electric vehicles online monitoring method device;
Fig. 2 is the connection diagram of each subsystem of Fig. 1;
Fig. 3 is the hardware block diagram of described electric drive system for electric vehicles online monitoring method device;
Fig. 4 is the process flow diagram of described electric drive system for electric vehicles online monitoring method device.
Embodiment
As Fig. 1, shown in 2, described electric drive system for electric vehicles online monitoring method device, comprise real-time online diagnostic system and coupled CAN car load data monitoring system, sensor online monitoring method system, real-time data analysis and characteristic curve comparison aid network system, described real-time online diagnostic system comprises MCU signal transacting and control module, and coupled storage unit, described CAN car load data monitoring system comprises the CAN of the electric automobile be connected with control module with MCU signal transacting, described sensor online monitoring method system comprises 12 ADC input blocks of 14 passages be connected with control module with MCU signal transacting and the GPIO/SIO composite channel input block of 8 passages.
Described CAN car load data monitoring system, sensor online monitoring method system, real-time online diagnostic system are embedded in device, and real-time data analysis and characteristic curve comparison aid network system are made up of device port and PC or hand-held intelligent terminal network integration.
The status datas such as described CAN car load data monitoring system on-line checkingi EMS power drive system, VMS whole-control system, BMS battery management system and panel board, hydraulic booster, air pump gate.
Described sensor online monitoring method system adopts independent of additional sensor on-line checkingi Motor torque, rotating speed, the temperature outside power drive system, controller UVW phase current voltage, temperature, bus current, voltage, electrokinetic cell and accessory power supply charging current, voltage etc.
Described real-time online diagnostic system real-time core reads data to judge and to detect electric automobile each electrical equipment subsystem running status and on-line proving functional connotation to provide electric drive car load many complex environments matching optimization to additional sensing data and automobile CAN-bus.
Described PC or handheld terminal real-time data analysis and characteristic curve comparison aid network system comprises online monitoring method additional sensor data, CAN obtains finished vehicle electronic data and additional two-dimensional inclination angle sensing, GPS location sensing and manual intervention logging data etc.
As shown in Figure 3, the input signal source of 12 ADC input blocks of described 14 passages comprises by Hall busbar voltage sensor, Hall bus current sensor, Hall battery voltage sensor, Hall charging current sensor, Hall U phase voltage sensor, Hall U phase current sensor, Hall V phase voltage sensor, Hall V phase current sensor, Hall W phase voltage sensor, Hall W phase current sensor, two analog temperature sensors, two digital temperature sensors.
The input signal source of the GPIO/SIO composite channel input block of described 8 passages comprises power motor torque measurement sensor, rotating speed measuring sensor, outer corner measurement sensor, cooling water flow survey sensor.
Described MCU signal transacting and control module are by RS232C, RS485 serial port and other devices communicatings and parameter maintenance.
Described reference power supply adopts the voltage source of 10PPM to ensure the temperature stability of DAC and ADC.
Described temperature sensing circuit Main Function is for detecting metering circuit substrate temperature to be carried out the drift of compensation for calibrating errors sensitive circuit temperature by MCU.
The records of values Main Function of described three dimension acceleration sensor is the travel condition of vehicle judging that resistance is abnormal when changing.
Described memory storage comprises NORFLASH expansion interface, NANDFLASH expansion interface, SD deck expansion interface.EEPROM is setting parameter region, and SRAM is data run district, and NORFLASH is extender district, and NANDFLASH is that mass data storage district is with non-volatile recording collection site data.
DC/DC power supply Main Function is produce multichannel low noise isolated location circuit power from vehicle accumulator 12/24V power conversion.
Input media is set as required, for providing data input reason etc.
The DC bus of described device collection electric automobile or power drive system monitoring and control unit, accessory power supply, battery charging, the voltage of power motor phase line, electric current, power motor moment of torsion, rotating speed, corner, cooling water flow, and described portion temperature, acceleration condition etc., for on-line handling, off-line analysis, remote monitoring provide Data support.
The process flow diagram of this plant running as shown in Figure 4, device bootloader, test mode is selected according to set model, the basic parameter arranged is read after starting, then DC bus-bar voltage is read, electric current, read charged state and the electric current of battery, read acceleration condition, carry out temperature collection, then motor winding is read, bearing temperature, read DC bus-bar voltage subsequently, electric current, then moment of torsion is read, rotating speed, corner reads, high speed acquisition RAM data buffer storage, also can not be limited for the order read, until read complete, to abnormality ruling, then storage resources is assessed, carry out the storage of FLAC lossless date-compress.
In addition, to the data processed in normal operation in flow process, run into the problems such as digital independent resource anxiety and made solution, specifically see the trend of process flow diagram.
Claims (9)
1. an electric drive system for electric vehicles online monitoring method device, it is characterized in that: comprise real-time online diagnostic subsystem and coupled CAN car load Data monitoring subsystem, sensor online monitoring method subsystem, real-time data analysis and characteristic curve comparison auxiliary network subsystem, described real-time online diagnostic subsystem comprises MCU signal transacting and control module, and coupled storage unit, described CAN car load Data monitoring subsystem comprises the CAN of the electric automobile be connected with control module with MCU signal transacting, described sensor online monitoring method subsystem comprises the ADC input block and GPIO/SIO composite channel input block that are connected with control module with MCU signal transacting.
2. electric drive system for electric vehicles online monitoring method device according to claim 1, is characterized in that: the input signal source of described ADC input block comprises by Hall busbar voltage sensor, Hall bus current sensor, Hall battery voltage sensor, Hall charging current sensor, Hall U phase voltage sensor, Hall U phase current sensor, Hall V phase voltage sensor, Hall V phase current sensor, Hall W phase voltage sensor, Hall W phase current sensor, two analog temperature sensors, two digital temperature sensors.
3. electric drive system for electric vehicles online monitoring method device according to claim 1, is characterized in that: the input signal source of described GPIO/SIO composite channel input block comprises power motor torque measurement sensor, rotating speed measuring sensor, outer corner measurement sensor, cooling water flow survey sensor.
4. electric drive system for electric vehicles online monitoring method device according to claim 1, is characterized in that: described MCU signal transacting is undertaken communicating and parameter maintenance by RS232C, RS485 serial port and other equipment with control module.
5. electric drive system for electric vehicles online monitoring method device according to claim 1, is characterized in that: described memory storage comprises NORFLASH expansion interface, NANDFLASH expansion interface, SD deck expansion interface.
6. electric drive system for electric vehicles online monitoring method device according to claim 1, it is characterized in that: also comprise temperature detection sensor, described temperature detection sensor is connected with control module with MCU signal transacting, for detecting metering circuit substrate temperature to be carried out the drift of compensation for calibrating errors sensitive circuit temperature by MCU.
7. electric drive system for electric vehicles online monitoring method device according to claim 1, it is characterized in that: described storage unit comprises EEPROM, SRAM, NORFLASH, NANDFLASH, described EEPROM is setting parameter region, SRAM is data run district, NORFLASH is extender district, NANDFLASH is mass data storage district, in order to non-volatile recording collection site data.
8. electric drive system for electric vehicles online monitoring method device according to claim 1, it is characterized in that: described real-time data analysis and characteristic curve comparison auxiliary network subsystem comprises online monitoring method additional sensor data, CAN obtains finished vehicle electronic data, additional two-dimensional inclination angle sensing, GPS location sensing and manual intervention logging data.
9. electric drive system for electric vehicles online monitoring method device according to claim 1, is characterized in that: described CAN car load Data monitoring subsystem is used for on-line checkingi EMS power drive system, VMS whole-control system, BMS battery management system and panel board, hydraulic booster, air pump gating state data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520479460.7U CN204904012U (en) | 2015-07-06 | 2015-07-06 | Online measurement and control device of electric automobile power drive system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520479460.7U CN204904012U (en) | 2015-07-06 | 2015-07-06 | Online measurement and control device of electric automobile power drive system |
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| CN204904012U true CN204904012U (en) | 2015-12-23 |
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| CN201520479460.7U Expired - Fee Related CN204904012U (en) | 2015-07-06 | 2015-07-06 | Online measurement and control device of electric automobile power drive system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017167005A1 (en) * | 2016-03-28 | 2017-10-05 | 深圳飞亮智能科技有限公司 | Intelligent controller for electric vehicle |
| CN109655746A (en) * | 2019-01-11 | 2019-04-19 | 锦州汉拿电机有限公司 | Motor data interactive device, system and vehicle |
-
2015
- 2015-07-06 CN CN201520479460.7U patent/CN204904012U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017167005A1 (en) * | 2016-03-28 | 2017-10-05 | 深圳飞亮智能科技有限公司 | Intelligent controller for electric vehicle |
| CN109655746A (en) * | 2019-01-11 | 2019-04-19 | 锦州汉拿电机有限公司 | Motor data interactive device, system and vehicle |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151223 Termination date: 20160706 |