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Aiming at the accuracy of estimation of vehicle's mass center sideslip angle, an estimation method of slip angle based on general regression neural network (GRNN) and driver-vehicle closed-loop system has been proposed: regarding vehicle's sideslip angle as time series mapping of yaw speed and lateral acceleration; using homogeneous design project to optimize the training samples; building the mapping relationship among sideslip angle, yaw speed, and lateral acceleration; at the same time, using experimental method to measure vehicle's sideslip angle to verify validity of this method. Estimation results of neural network and real vehicle experiment show the same changing tendency. The mean of error is within 10% of test result's amplitude. Results show GRNN can estimate vehicle's sideslip angle correctly. It can offer a reference to the application of vehicle's stability control system on vehicle's state estimation.

Summary Microfluidic fuel cell (MFC) suffers from small single cell output power due to the inherent cell size limitation as microscale geometries are prerequisite to prevent reactant crossover between the anode and cathode. To meet the power demand of practical applications, previous works mainly focus on the creating of MFC stacks with multiple cells connected in series, parallel, or mixture of both series and parallel to increase the output power. Yet, low energy efficiency is observed because of the flow distribution nonuniformity and shunt current losses. In this work, a high performance radial vanadium redox MFC is presented to address the size limitation issue by adding a separate layer between the porous electrodes of the conventional plate‐frame MFC. Specific cell characteristics are detailed by mathematical modeling, and parametric studies are performed to evaluate the influences of the geometrical and operational parameters on the cell performance. The results show that this new radial MFC can provide a higher fuel utilization and meanwhile an improved cell performance under a fixed electrode size compared with the conventional plate‐frame MFC. Moreover, the electrode size limitation due to the reactant crossover between the anode and cathode is broken as the influences of the electrode size on the mixing region are greatly reduced. In the case with the electrode size equal to 18 mm × 18 mm, single cell output power of 0.35 mW with a fuel utilization of 53.33% is obtained under the reactant concentration of 2 mol L−1 and flow rate of 300 μL min−1.

In this article, a novel rollover prediction algorithm is developed for application on vehicles with large lateral velocity and high center of gravity. Lateral energy is the direct cause of rollover. Rollover prediction model is proposed by taking full account of the impact of the pavement, tire, and suspension and realizes the estimation of the vehicle lateral energy. By calculating the ratio of real-time lateral energy reserve and rollover threshold, the degree of rollover risk is obtained. The double-shift experiment and the Fishhook experiment are performed to verify the accuracy and suitability of the proposed model, and the proposed prediction is 0.2 s ahead of the actual liftoff situation and 0.45 s ahead of the actual rollover situation; therefore, the proposed rollover model can be regarded as an effective method.

Summary Significant electrical resistance is observed in porous electrodes of microfluidic fuel cell due to the size limitation of this energy system. In this work, role of electrical resistance and geometry of porous electrodes in the performance of microfluidic fuel cells is studied with a three‐dimensional numerical model. Parametric simulations are performed to find proper ways to reduce the electrical resistance, including increasing the electrical conductivity of the electrode, changing the electrode geometry, and optimizing the current collector design. The results indicate that the cell cannot fully get rid of the negative influences of the electrical resistance by increasing the electrical conductivity due to the material restriction. Decreasing the electrode length or increasing the electrode width is also not feasible due to the trade‐off between current and current density. Optimization of the aspect ratio of the electrode active region is proved effective in realizing the enhancement of both current and current density. Extending the current collector area from the exposed end to the active region of the porous electrode is also promising as it can decrease the electrical resistance and boost the cell performance simultaneously. The present findings are generally applicable to various miniaturized fuel cell types using porous electrodes.