In this paper, the starting characteristics of fuel cell system are studied firstly. The hot and cold starting characteristics of fuel cell system are measured by the starting time of fuel cell system, the energy consumption during the starting process and the hydrogen consumption during the starting process. Secondly, the cold and hot starting test of the fuel cell system is designed, and the experimental process is designed by using the orthogonal experimental method. 30kW, 60kW and 90kW fuel cell engines are selected for the test and the experimental data are recorded. Finally, the data obtained from the test are compared and analyzed comprehensively to show the relationship among the time, energy consumption and hydrogen consumption required to start the fuel cell engine at the same power and different temperature.

In order to realize the continuous power supply for the vibration fault monitoring system of automobile engine, aiming at the low efficiency and instability of the existing piezoelectric full bridge rectifier energy collection circuit, this paper proposes a circuit scheme based on synchronous charge extraction. The scheme can provide circuit collection efficiency, and analyze the power of the circuit by impedance analysis. Finally, the experiment shows that the theoretical analysis is consistent with the experimental results. And the synchronous electrical charge extraction circuit can harvest power up to 1.3mW under low frequency conditions, which is higher than 0.5mW collected by the full-bridge rectifier circuit under the same conditions. The harvested energy meets the power requirements of automotive sensors and microcontrollers.

Under the double challenges of energy crisis and climate warming, electric vehicles have received widespread attention as an important way to develop a low-carbon economy and implement energy saving and emission reduction, among which the electric vehicle power exchange is the main direction of current research. In this paper, we analyze the development needs of electric vehicles and provide an in-depth analysis of the power exchange mode of electric vehicles. The state of the battery is especially critical in the process of power exchange between electric vehicles. In order to realize the real-time monitoring of the battery health state in the process of electric vehicle power exchange, this paper uses RLS to establish a battery model and perform parameter identification. Then, on the basis of the second-order Thevenin equivalent circuit model, the Kalman filter algorithm is used to estimate the battery health state. On this basis, this paper constructs a real-time battery health status monitoring system for electric vehicle power exchange using sensors, transformers, displays, DSPs, and other components. Through simulation experiments, the percentage error of the equivalent circuit is between -0.4% and 0.3% in both cases.