In order to realize the high performance and low cost development of lithium-ion batteries, this article explored the application of new battery materials in lithium-ion batteries, and introduced the application and research progress of Metal Organic Framework (MOF) in aspects of cathode materials, anode materials, electrolytes and separators, respectively. On this basis, the article revealed that construction of conductive MOF material, MOF composites and low-cost MOF material will be the focus of future research.

In order to realize ecological driving behavior decision-making of autonomous vehicle at intersections, the driving behavior of the vehicle without the influence of the vehicle in front was determined through empirical fuel-saving strategies. Using NGSIM dataset, combined with Gaussian Mixture Model (GMM) cluster analysis method and Support Vector Machine (SVM) theory, the driving style of the driver in front of the vehicle was identified, and a binary logistic regression-based intersection driving behavior decision model for self-driving cars was established. According to the different behaviors of decision making and considering vehicle fuel consumption, the multi-stage ecological driving optimal control issue was transformed into a full-stage optimal control issue. The paper proposed an eco-driving strategy for self-driving cars at intersections, and the effectiveness of the strategy was verified by simulation.

In order to study the influence of suspension time delay on the vehicle, the 1/4 semi-active suspension system with time delay was taken as the research object. The stability condition of the time-delay system was used to solve the stability interval of the adjustable damping. For the case outside the stability interval, the critical time delay point was solved, and the numerical simulation was carried out under the discrete impact road surface. The results show that when the time delay is reasonably selected in the stability interval, the ride comfort and handling stability can be improved. When the stability interval is outside, the time-frequency analysis of the suspension performance index is carried out by selecting the critical point of time delay and the nearby points. When the time delay is less than the critical time delay point, the system remains stable. When it is greater than the critical time delay point, the system diverges and is unstable, and the ride comfort and handling stability of the vehicle deteriorate. With the increase of time delay, the power of the suspension performance index gradually increases, and the power of the suspension performance index in the low frequency band is significantly greater than that in other frequency bands.

For the estimation of road adhesion coefficient, a key parameter in vehicle active safety system, a three-degree-of-freedom vehicle dynamics model with Dugoff tire model was established, and the road adhesion coefficient estimator was designed based on Square root Cubature Kalman Filter (SCKF). This method introduced orthogonal trigonometric decomposition into Cubature Kalman Filter (CKF) algorithm, avoiding the root operation of covariance matrix in CKF, and improving the stability of the algorithm. MATLAB and CarSim co-simulation platform were used to carry out multi-condition simulation verification under different road conditions, and the proposed algorithm was compared with CKF algorithm. The results show that SCKF algorithm has high robustness and higher estimation accuracy than CKF algorithm, and can meet the requirements of vehicle active safety system.

The vehicle mass, which was estimated from longitudinal dynamics formula based on longitudinal acceleration, vehicle speed, motor torque, was used as input parameter to calculate energy recovery feedback torque, to make the vehicle has the same target deceleration under different loads. Test results indicate that the accuracy of vehicle mass falls in the range of ±10% in the real road test, and when vehicle mass is used to calculate energy recovery, the energy consumption is optimized by 5.5% in CRUISE simulation based on China-World Transient Vehicle Cycle (C-WTVC).

A diagnosis device is designed, which can diagnose vehicle state through standard port of the On-Board Diagnostics Ⅱ (OBD Ⅱ). Its software is designed based on STM32 single chip microcomputer, the physics layer communicates with vehicle gateway via CAN, the communication standard abides by the Unified Diagnostic Services (UDS) protocol and operates in three modes, i.e. communication with cell phone via Bluetooth, communication with computer via serial port connection, and operate offline via command memory. The embedded software is developed by hierarchical architecture based on C programming language.