A novice with zero foundation wants to learn new energy vehicle on-board software testing, how to systematically learn and master the new energy vehicle testing process, testing methods, learning skills and learning methods? Bookmark and pay attention to this answer, so that you can quickly master knowledge, enter the industry, and do test projects independently.
Here is a set of detailed test standard schemes and systematic learning methods for your reference and study.
1. Basic requirements for in-vehicle software testing
① Understand the structure and principle of new energy vehicles , the basic composition of pure electric vehicles, power supply system, electric drive system, auxiliary system, and high-voltage electrical system. In addition to batteries, electric drive, and electronic control, the high-voltage electrical system is also the core of new energy vehicles, which is the biggest difference compared with traditional vehicles. Jobs related to new energy vehicles require a systematic understanding of high-voltage electrical system architecture, high-voltage connection systems, and power electronic devices.
②Understand the process of automotive electronic software development and vehicle development. It is necessary to be proficient in the development process of the "V" shape of automobiles and related automobile industry standards. The model-based V-shaped development process and the advantages of model-based design need to be mastered by corresponding test engineers.
③ Vehicle CAN bus network knowledge. Traditional automotive wiring harness connections are more complicated. The power domain controller, instrument panel, and body domain controller are connected by a large number of wire harnesses. The connection of the traditional wiring harness is relatively disordered, which increases the error rate of assembly; many controllers require a large number of signal data lines, and the length of the vehicle wiring harness can reach 2500 meters. At this time, the wiring of the electronic control system of the vehicle will be complicated, and maintenance is also very difficult; In addition, the cost is increased and the economics and dynamics of the vehicle are affected. In 1983, Bosch of Germany began to study on-vehicle network technology, a serial communication protocol developed by Bosch to solve the real-time data exchange between many control units in modern automobiles. Vehicle CAN bus network knowledge includes CAN bus introduction, CAN communication mechanism, CAN data format, CAN, network protocol, and vehicle CAN network topology.
2. Test theoretical knowledge and test methods.
Test theory knowledge is the core and most important part of vehicle test. The purpose of hardware testing is to conduct comprehensive and in-depth functional testing, fault testing and extreme working condition testing of new energy vehicle controllers, and assist engineers to analyze and verify test results, reproduce faults, and improve the means of test verification and analysis. The core theoretical knowledge of on-board HiL testing includes: HIL testing hardware platform, HIL testing software platform, HIL testing process and method, HIL simulation model, etc.
HIL test hardware platform: HIL test system composition, PXI chassis, PXI controller, I/O and communication board, fault injection board, signal conditioning module, BOB junction box, wiring harness and connector, low-voltage programmable power supply, power supply management unit etc.
HIL test software platform : automated test system, NI-based HIL test software, HIL test software architecture, VeriStand test management software, TestStand automated test software, etc.
HIL test process and method: Test preparation (formulate test plan, collect and analyze the input information of the DUT, collect and analyze HIL test equipment information); build a test environment (interface matching, wiring harness design and production, build a simulation model, build a test project); Design test cases; test execution (smoke test, open-loop test, closed-loop test, defect management, regression test, test report, etc.);
HIL simulation model : driver model, vehicle dynamics model, battery model, motor model, vehicle controller model, I/O interface model, HIL model system configuration