In order to deeply explore Yolo target detection algorithm and its development direction in the field of autonomous driving, this paper reviewed the research progress and main accomplishments of YOLO algorithms (YOLOv1~YOLOv8), analyzed and expounded its application in relevant detection tasks including vehicles, lane lines, pedestrians and traffic signs in the field of autonomous driving. Combining the characteristics of Yolo series algorithms, the paper analyzed and summarized the future improvement ideas and research trends of Yolo algorithm.

In view of the problem that the variable window Adaptive Unscented Kalman Filter (AUKF) algorithm has a large mutation when the window changes, and the window sequence data decreases sharply, resulting in the increase of error, stability and accuracy decline in state estimation, this paper uses the Forgetting Factor Recursive Least Square (FFRLS) algorithm to identify parameters based on the second-order RC equivalent circuit model, combined with the improved variable window AUKF algorithm to estimate the State of Charge (SOC) of lithium battery, it is verified by the Urban Dynamometer Driving Schedule (UDDS) cycle test, and compared with Unscented Kalman Filter (UKF), AUKF and variable window AUKF algorithms. The test results show that the improved AUKF algorithm can control the average error within 0.38%, with higher accuracy and convergence.

In the road test, an electric vehicle was found brake stall under high SOC, and paused under low SOC when it was running at full throttle, it was found and confirmed that irrational current signal parameters injected by the harmonics of the inverter software triggered resonance of the vehicle electrical network, which caused voltage jump. The resonance was analyzed, and a vehicle electrical network model was established, and the resonance point was calculated, the harmonic injection strategy was optimized. Vehicle test shows that under the new strategy, the voltage jump has been reduced and it does not cause new NVH problems.

This paper took noise generated from air suspension modulation of a vehicle as research object. Through transmission path study, the paper determined that the noise was mainly generated through the body structure excited by the air compressor. Through theoretical analysis, it was found that the main factors affecting air suspension noise transmission were the air compressor system modal frequency and Noise Transfer Function (NTF) from the body attaching point to the vehicle interior. The paper proposed optimization schemes including power supply wiring harness wrapping material optimization, bracket vibration isolation and bracket reinforcement + NTF. The results show that bracket vibration isolation is the best scheme, after implementation, the 1^st order noise order of air compressor was reduced by 4 dB, 2^nd order noise was reduced by 14 dB, and the sound quality in the vehicle was significantly improved.

In order to solve the problem of abnormal vibration and noise generated by the Electric Power Steering (EPS) system of passenger cars under bumpy road conditions, this paper proposed a new damped block structure by adding an O-ring at the EPS block position. By analyzing the influence of O-ring static compression and stiffness on damping performance, the optimal compression of O-ring was confirmed to be 0.5 mm. The EPS endurance test was carried out with the road spectrum of the vehicle. The results show that the performance of vibration noise deteriorates after a long mileage with increase of EPS block gap. Subsequently, the bench noise test of the EPS with traditional block and new block under different block gap was conducted. The results show that the vibration acceleration of the EPS with the new damped block structure is reduced by a maximum of 9 m/s² and 6.2 m/s² at the bushing end and block end, respectively, proving that the new damped block structure has a significant optimization effect on the vibration noise of the EPS system under bumpy road conditions.

To obtain engine braking power accurately, this paper proposed a method of engine braking road test based on the momentum conservation law. A vehicle braking power equation based on speed and gear was built to provide a warning of downhill shifts and AT gear selection. Braking power test result obtained with the proposed test method was compared with dynamometer test result, with a difference range of -2.7%~3.4%, demonstrating accuracy and effectiveness of this method.

This paper introduces the monitoring requirements, diagnostic principles and calibration objectives of the CN6 On-Board Diagnostic (OBD) on cooling system. For the traditional calibration method which has a huge workload and a long calibration period, Simulink was used to build the monitoring model of the cooling system in the controller, and the off-line calibration method was used to calibrate the cooling system of a 1.2 L direct-injection supercharged gasoline vehicle. The off-line calibration results meet the development objectives, and the calibration cost and calibration cycle are reduced by more than 2/3.