To improve the collision avoidance performance of the Autonomous Emergency Braking (AEB) system in dangerous braking scenarios, this paper proposed an AEB control strategy considering the braking intention of the front vehicle and its test and evaluation method. A joint platform of PreScan, Simulink, and driving simulator was established to collect drivers’ braking operation data, classify the braking intention of the front car based on K-means clustering method, and use sliding time window to extract intention recognition model to train the dataset. The front car uses a double-layer hidden Markov model to identify the driver’s braking intention, while the main car calculates the critical safety distance threshold based on different braking intentions and performs collision avoidance control. A PreScan+Simulink virtual simulation and test environment was established, and AEB strategy comprehensive evaluation method was proposed based on Analytic Hierarchy Process (AHP). Four typical AEB control models were compared, which verified that the proposed method can timely trigger braking to avoid collisions in different braking scenarios, while reducing driving discomfort caused by premature braking.

To optimize the fuel economy and auxiliary power battery performance of hydrogen fuel cell hybrid vehicles, this article proposed an energy management strategy based on Twin Delayed Deep Deterministic policy gradient with Prioritized Experience Replay (TD3-PER). Adopting the Twin Delayed Deep Deterministic policy gradient (TD3) algorithm, it achieves more accurate continuous control while preventing training over estimation. By combining the Prioritized Experience Replay (PER) algorithm, the training of the strategy is accelerated while achieving better optimization performance. The simulation results show that compared with the Deep Deterministic Policy Gradient (DDPG) algorithm, the proposed TD3-PER energy management strategy reduces hydrogen consumption by 5.47% per 100 kilometers and average power fluctuation by 6.49%.

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 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 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.

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%.

The Remaining Useful Life (RUL) prediction accuracy of lithium battery is not high because the selected health factors are not ideal. To solve this problem, this paper proposed a data-driven remaining useful life estimation approach for lithium-ion batteries based on charging health feature optimization. Firstly different health factors were selected in the battery charging process, then, a two-step feature selection method based on maximum information coefficient was used to obtain optimal health factors. Finally, the Attention Temporal Convolutional Network (ATCN) mechanism was used to predict the remaining useful life of the battery. The proposed lithium battery RUL prediction framework was validated by a study of NASA’s lithium battery aging data and compared with other modeling methods including Simple Recurrent Neutral Network (SimpleRNN), Long Short Term Memory (LSTM) neutral network and Gate Recurrent Unit (GRU) neutral network. The experimental results indicate the proposed method has achieved optimal prediction results in all the datasets.

In order to study the overdrive control of vehicle driven by hub-motor, this paper started from steering control, independent driving control, and joint control of two systems, analyzed the research progress of steering stability control strategy. It firstly classified the aspects affecting the stability based on the steering control technology, then analyzed the characteristics of hierarchical control structure and centralized control structure, as well as the stability research based on different control structures. Finally, combined with the research status and technical progress of the improvement of vehicle operating stability driven by hub motors, the paper predicated future trend.

To maximize the regenerative braking energy as the goal, the paper puts forward a new energy commercial vehicle regenerative braking control strategy, through the analysis of the regenerative braking system structure and principle, front and rear braking force distribution, motor and battery power constraints, under the premise that guarantees braking direction stability, reasonably distribute the braking force. The simulation model of commercial vehicle regenerative braking system was established by AMESim to simulate and verify the control strategy. Finally, the control strategy in this paper was tested and verified by the chassis dynamometer. The results show that the designed control strategy can greatly save the energy consumption of new energy commercial vehicles and extend the driving range.

This paper analyzed the technical layout and key research and development direction of skateboard chassis technologies with patent analysis method from aspects of patent disclosure situation, patent technology composition, sorted out the development path of key technical points such as integrated body battery pack, wire controlled chassis and intelligent thermal management system, analyzed the technology development status and future development trend of skateboard chassis technologies from macro and micro perspective.