To reduce high AC loss of flat wire motor under high speed conditions, improve the operation efficiency of the motor, an 8-pole and 48-slot flat wire permanent magnet synchronous motor was taken as the research object, a flat wire motor model was established, and the influence law of AC loss was analyzed. With key structural parameters as variables, this paper proposed a genetic algorithm optimization scheme based on response surface design. The simulation results indicate that the AC loss of the motor is reduced by about 6.8% under the high speed condition, and the motor efficiency under the whole working condition is improved, and the average proportion of the high efficiency interval is increased by about 7.8%.

In order to improve the safety of occupants in side pole impact, this paper analyzed the damage of occupants in side pole collision condition at 32 km/h by simulation. Firstly, a side occupant restraint system model was established and its reliability was verified. To improve the protection effect for occupant of side airbag and reduce the passenger’s injury in side pole crash, vehicle side pole crash PSM substructure model was established according to 2021 C-NCAP Side-Pole test method. Finally, the test results were compared with simulation results, which show that the reasonable airbag shape, ignition timing and vent diameter can effectively improve the occupant protection.

In order to meet the requirements of automotive crashworthiness and lightweight, the reliability optimization design of CFRP anti-collision beam was conducted. With the abscissa, thickness and ply angle of the key control points of the CFRP anti-collision beam as the design variables, and the peak impact force as the constraint conditions, an optimization model was built to maximize the specific energy absorption of the anti-collision beam. The Kriging approximation model of the objective function and the constraint function was obtained by fitting the data with the Latin superelevation method. The UGF-direct mapping method was used for the crash reliability optimization design. The results show that when the random variables are not normal and the function is highly nonlinear, the traditional moment method cannot ensure convergence, the Monte Carlo method has the highest accuracy, but the calculation cost is too high. The reliability analysis and optimization using UGF can ensure stable convergence, and the efficiency is also very high while ensure accuracy. At the same time, the UGF method combined with the non-uniform clustering technology further improves the efficiency. Compared with the initial target value, the optimization magnitude obtained by UGF method reaches 21.6%, reaching the expected effect.

In order to quantitatively evaluate the sitting comfort of vehicles comprehensively, the evaluation index system based on effects of different body parts on sitting comfort in term of influence of different comfort including shoulder comfort, back comfort, waist comfort, hip comfort and thigh comfort on sitting comfort. Entropy method was applied to correct Analytic Hierarchy Process (AHP) to determine the weight of different body parts on sitting comfort, which was verified by the vehicle test. Finally, the results show that this weighting method can measure more accurately the weight of different body parts affecting sitting comfort.

In order to explore the practical effects of Cellular Vehicle-to-Everything (C-V2X) in specific application scenarios, the design and experimentation of in-vehicle traffic light application scenarios was conducted based on C-V2X. A real road environment was constructed for in-vehicle traffic light display, red light warning scenario, road test was conducted at different communication distance and vehicle speed conditions using two communication modes based on Long Term Evolution Vehicle-to-Everything (LTE-V2X) and the 4th Generation mobile communication technology (4G). The experimental results show that both scenarios were effectively triggered, with communication delays of less than 1 s, a packet loss rate of less than 2% and a message accuracy rate of no less than 99%, meeting the basic performance requirements of the scenarios. In addition, LTE-V communication has the advantages of long-distance, low latency and high reliability.

The difficulty in accurately predicting the future driving conditions of new energy vehicles leads to inaccurate estimation of the battery’s State Of Charge (SOC), to address this issue, this paper proposed a real-time online prediction of the future driving conditions of electric vehicles based on digital map real-time traffic information and machine learning algorithms, experimental verification was conducted on an Internet-distributed vehicle-in-the-loop simulation platform. The results show the proposed algorithm has high real-time performance and prediction accuracy.

In order to track the regenerative braking power of EV’s hybrid energy storage system accurately, avoid current impact of energy storage elements and bus voltage build-up caused by untimely distribution of braking energy, this paper proposed a dynamic power tracking control based on hybrid energy storage system. The supercapacitor was modeled based on the Thevenin model, the terminal voltage of the supercapacitor was predicted with Kalman filter. On this basis, a loss function was established for power tracking, the supercapacitor current was solved in real time under constraints. Finally, the effectiveness of the proposed dynamic power tracking control strategy was verified by contrast test. The test results show that the proposed dynamic power tracking control can quickly track the braking power and reduce the current impact of energy storage elements.

In order to realize the bidirectional flow of energy between electric vehicles and the power grid in Vehicle to Grid (V2G) mode, this paper analyzed the working principle using the non-isolated two-stage bidirectional AC/DC converter as the research object, a mathematical model was established. The feed forward decoupling double closed-loop, constant current charge and discharge control strategies were formulated. The Space Vector Pulse Width Modulation (SVPWM) technology was utilized to generate the driving signal of the power switch tube, the passive damping LCL filter was designed. Finally, the system simulation model was built in MATLAB/Simulink for system simulation and analysis. The results show that the proposed control strategy can realize the bidirectional power flow between the electric vehicle and the power grid.

To make full use of the discrete characteristics of electronic semiconductor switches to establish domination set, finite set model predictive was applied to bidirectional chargers. The predictive model of LCL filter was built up, and based on this model, current of the next control cycle can be calculated, and a cost function was built to achieve vector optimization. The steady-state and dynamic-state performance of the bidirectional charger were tested by simulation and experiment, which show that grid-side current features high sinusoidal output and fast response, verifying correctness and feasibility of the control strategy.

A motor noise tracking method based on Empirical Mode Decomposition spectral Kurtosis Reconstruction Find Peaks (EMD-KR-FP) was proposed to track the noise of brushless DC motor. Firstly, the characteristic frequencies of radial electromagnetic force, torque ripple and resonance induced electromagnetic noise were obtained by theoretical calculation. The characteristic frequency set was defined, the time-domain signal of motor noise was decomposed by Empirical Mode Decomposition (EMD) method. Then, according to the spectral Kurtosis theory, the Intrinsic Mode Function (IMF) component was screened for signal reconstruction, the reconstructed signal was processed by Fourier transform. Peak location algorithm was used to extract the peak frequency of several peaks with the largest contribution on the spectrum and compare with the frequency of characteristic frequency set, so as to determine the cause of electromagnetic noise of the motor. Test results show that this method is effective and reduces the workload of traditional order analysis method.