The growth of new energy vehicles and Internet vehicles in the past two years is obvious to all. In the long run, this is also the trend of automobile development. Compared with traditional cars, new energy vehicles are more inclined to the Internet and intelligent, and the excellent operating experience brought by them is also beyond the reach of traditional cars. Most of this operating experience is attributed to a core of the car - VCU (complete vehicle) Control System).
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The vehicle control system can adjust and optimize various aspects such as vehicle power, comfort, safety and energy consumption, and cooperate with big data to make the car have better operability and reliability.
Boolean Technology is a provider of automotive big data solutions. Among its main business is the electric vehicle control system VCU. Boolean CEO Yan Fangchao introduced the application of vehicle control system and big data to electric vehicles to Lei Feng.
Automatic calibration and data mining in research and development
In fact, VCU is the control core of new vehicles such as the Internet and electric vehicles. The demand for traditional vehicles is very small. The new car is different from the traditional car in research and development.
In the development of electric vehicles, there are usually several stages:
The first stage: the virtual simulation stage. There is no physical car at this stage. All test development work uses software to simulate and test. After a series of tests, it can enter the hardware test.
The second stage: hardware simulation. There are still no physical cars at this stage, but some of the hardware that has been used during the test. For example, if you want a motor, you will buy a motor in the laboratory and use control equipment to verify the control algorithm.
The third stage: bench test. At this stage, there is basically a prototype of the car, but it is only tested in the laboratory. This stage is divided into two steps. In the first step, all the required parts are assembled on the gantry for virtual testing. The second step will be to do a prototype, and do batch trial production testing.
The final stage: the vehicle is subjected to three high experiments (high temperature, high pressure and cold), and then the data is calibrated. The design phase is basically completed after the completion of the test.
This kind of data obtained through the pre-simulation test is generally more accurate, and the success rate of the later prototype test will be much higher.
In addition, Yan Fangchao told Lei Feng. After the automobile is formed, there is a calibration process. The calibration means that after the control program is changed, the actual operation process, the engineer will also follow the experience and laboratory parameters. The data such as the current size are manually improved. The parameters are very large, usually there are thousands of them. It is very cumbersome to manually modify the workload a little bit, so they independently developed an automatic calibration platform for this, which greatly saved the workload. The accuracy is also very high. This calibration process can also make the car more energy-efficient through data collection and mining. This is also a benefit of combining big data in the development process.
Driving safety protection
In traditional cars, the data of various cars are mostly displayed on the dashboard, while the Internet car has a large LCD screen to display this information. However, if the vehicle is in a situation, the user can only see some parameters on the LCD screen. To show the user the potential danger of the vehicle.
Yan Fangchao said that the combination of vehicle control system and big data has two advantages for driving safety.
1. When the car fails, the VCU can know the details of the fault and pre-judgment in detail: “The car can still be openedâ€, “Will there be no further damageâ€, “Need rescue or can continue to drive to repair the car†"Factory", "Which part of the repair needs to be repaired" and so on.
2, able to predict faults, the system can collect various sensor parameters, driver operating parameters, vehicle operating parameters, road real-time congestion parameters, etc. in real time, these data will be uploaded to the background, through the big data algorithm to analyze and summarize the law. Regular application to the car does not occur, can effectively predict the failure of some cars.
Speaking of this, Yan Fangchao also gave an example:
When a big earthquake strikes in one place, the frogs will suddenly jump into the road in groups, and other animals will have some abnormal behaviors. At this time, people can judge that there will be disasters. This is the application of the law, and the effect of the regular data on the car is also the same, but the car failure regularity is stronger, so the accuracy of the prediction is stronger. At present, Boolean Technology has smashed tens of millions of big data for vehicle fault analysis, and both owners and manufacturers can see a state in which each vehicle runs safely in real time.
In addition to the above-mentioned example of protection, the VCU has a corresponding data protection prediction in the driving state safety confirmation (for example, does not allow the vehicle to jump directly from the forward mode to the reverse mode), communication failure protection, battery protection, and thermal management. .
Comfort and energy consumption
In addition to safety, new energy vehicles are more comfortable and easier to operate than traditional cars.
Internet cars have added Internet factors, and there are corresponding algorithms in the vehicle controller, battery, motor management system and various sensors to make the whole vehicle more intelligent. However, the control program itself will inevitably have a bug, so that the improvement of control and comfort requires some big data support. This support is reflected in the power, various mode management and user management of the car demand.
Give a simple example:
The vehicle's control system will identify your location and real-time road conditions. Cloud data analysis will determine the power mode you currently need. The power modes used for country roads and highways, smooth streets and congested road sections are different. At this time, the vehicle control system can switch the power mode.
In addition, the power mode switching can also be expressed in another scenario. For example, when a car is full of passengers and empty cars, the operation feelings of starting and accelerating to the driver are different. Throttle power can make people feel different. By adjusting the car through the VCU, the driver's operation feeling can be unified. Regardless of the load of the vehicle or not, as long as the throttle is stepped to the corresponding depth, the same acceleration power can be obtained.
compatibility
In terms of compatibility, the VCU's hardware and software can be configured.
Yan Fangchao told Lei Feng. Take Boer Technology's control system as an example. All its interfaces are optional and support various sensors and control devices from other manufacturers.
“Just like going to a computer city with a computer, all kinds of different hardware can be compatible.â€
In addition to the hardware, it is also configurable in software. Yan Fangchao said that their control system does not need to be reprogrammed in the improvement of control algorithms. It only needs to find the corresponding configuration file and download it to the system list for configuration and modification. It can be customized, and it saves the trouble of changing code and testing.
Yan Fangchao said that according to the current development of the car, the popularity of Internet cars and autonomous driving is still not very high, but the Internet and intelligence of electric vehicles are relatively strong, so Boolean researched VCU with electric vehicles as the starting point. . In the future of unmanned cars and Internet cars, the vehicle control system will be more improved and play a greater role.
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