Power optimization-based coordinated control of air management for automobile fuel cell system

Feedback-linearization decoupling based coordinated control of air supply and thermal management for vehicular fuel cell system

In this study, a type of direct-drive gearshift system integrated into a motor-transmission coupled drive system is introduced. It used two electromagnetic linear actuators (ELAs) to perform gearshift events. The adoption of ELAs simplifies the architecture of the gearshift system and has the potential to further optimize gearshift performance. However, a number of nonlinearities in the gearshift system should be investigated in order to enhance the performance of the direct-drive gearshift system. An active disturbance rejection control (ADRC) method was selected as the principal shifting control method due to the simple methodology and strong reliability. The nonlinear characteristics of the electromagnetic force produced by the ELA were subsequently reduced using the inverse system method (ISM) technique. The ADRC approach also incorporated an acceleration feedforward module to enhance the precision of displacement control. The extended state observer (ESO) module used a nonlinear function in place of the original function to improve the ability to reject disturbances. Comparative simulations and experiments were carried out between the ADRC method and improved ADRC (IADRC) method. The outcomes demonstrate the effectiveness of the designed control method. The shift force fluctuates less, and the shift jerk decreases noticeably during the synchronization procedure. In conclusion, combined with the optimized IADRC method, the direct-drive gearshift system equipped with ELAs shows remarkable gearshift performance, and it has the potential to be widely used in motor−transmission coupled drive systems for EVs.

This paper presents a simplified active disturbance rejection control (ADRC) method for implementing the DC capacitor voltage in Z-source constant. Active disturbance rejection control method is the development of PID control. It is suit ab le for the inverter with variable input. A simplified ADRC method is used in this paper to reject the disturbance from variable input in Z-source inverter. In its ESO module part, Kalman filter is used to estimate the state and the disturbance, which can approach the true value at the extreme, and reduce the computation time. The simulation result shows the control method can achieve the control requirement satisfactory.

Considering the internal and external disturbances of the direct‐driven wind energy conversion systems, i.e. multi‐variable coupling, non‐linear characteristic and modelling error, and the environmental disturbances, an adaptive sliding mode observer with active disturbance rejection control (ADRC) method for a direct‐driven permanent magnet synchronous generator (PMSG) based wind power conversion system is proposed to track the maximum power point precisely. First, adaptive sliding mode observer based on phase‐locked loop can effectively observe the rotor position information of PMSG, and weak the inherent chattering of traditional sliding mode. Second, ADRC can enhance the anti‐disturbance ability when the system is under linear state feedback. Finally, the simulation results show that this method can estimate the rotor position exactly, and the system has the strong robustness and the optimum power tracking performance.

Tracking control of the oxygen excess ratio (OER) and keeping the cathode air pressure relatively stable are essential for the operation of polymer electrolyte membrane fuel cell (PEMFC). In automotive fuel cell air supply systems, the cathode air pressure and OER are usually unmeasurable parameters, which makes the air supply system control and fault analysis very difficult. To solve this problem, this paper proposes an extended state observer based on the hyperbolic tangent function (HTF-ESO) to estimate the cathode air pressure of the fuel cell gas supply system, and indirectly obtains the OER according to the estimated cathode pressure, and designs the sliding mode control (SMC) and a first-order active disturbance rejection control (ADRC) for the tracking control of the OER. The simulation results show that the improved HTF-ESO effectively mitigates the initial differential peak phenomenon and reduces the initial estimation error of the cathode air pressure, and the RMSE of the cathode pressure and supply manifold pressure observation errors are reduced by 68% and 20%, respectively, compared with the present unimproved ESO. Compared with the PI, the RSME of the control error after convergence of the designed SMC and ADRC is reduced by 4.3%, and the OER can be restored to the reference value within 1 second, with good dynamic response.

<div class="section abstract"> <div class="htmlview paragraph">The growth of the electric vehicle market has driven the advancement of technologies related to energy storage and lithium-ion cells, which stand out for their fast charge and discharge capabilities, high energy density, and long service life. This paper proposes a thermal control strategy for lithium-ion battery packs using the Active Disturbance Rejection Control (ADRC) method. The model is developed in Simcenter Amesim software, using cylindrical 21700 cells in a pack equipped with a water-cooling system, and was adapted for export in FMU format and integrated into MATLAB/Simulink, where the control algorithms were designed and simulated. From step input tests, a first-order transfer function was identified with a fitting of 97.67%, supporting the adoption of a first-order ADRC. The tests involved scenarios with changes in temperature reference and current disturbances typical of vehicle operation. Results indicate that ADRC performs satisfactorily in temperature tracking, even under actuator saturation, and particularly excels in disturbance rejection, outperforming the proportional-integral-derivative (PID) controller in speed and precision. Furthermore, ADRC proved robust to system degradation—an essential feature in the thermal management of batteries subject to aging. The proposed approach shows promise for real-world applications, offering thermal stability and extended system lifespan. For future work, experimental validation through Hardware-in-the-Loop (HiL) is suggested.</div> </div>

In the paper simulation research of speed control of electrical drive with mechanical system revealing elasticity and backlash is presented. The method of Active Disturbance Rejection Control (ADRC) was applied as the speed controller. Parameters of the ADRC subsystem were found by Particle Swarm Optimization method. The ADRC method was compared with 2DOF-PID controller, which was treated as a reference control structure, in conditions of simple scenario with step changes of disturbance (load torque) and reference signal. Resulting waveforms and numeric control quality factors are presented and followed by conclusions.

Electromechanical actuators (EMA) are becoming more and more widely used. As the core technology of EMA, servo control technology determines their performance. In this paper, an active disturbance rejection control (ADRC) method with an improved extended state observer (ESO) is proposed to design a cascade controller of EMA based on permanent magnet synchronous motor (PMSM). The mathematical model of PMSM in a two-phase rotating coordinate system is established, then it is decoupled by an id=0 current control method to realize the vector control of the motor. In a three closed-loop vector control system, a PID controller including current loop, speed loop and position loop is designed. To solve the problems caused by measurement noise, the filter link and system are modeled as a whole, and an improved ESO is constructed. On this basis, an ADRC controller of the speed loop and position loop of PMSM is designed and simulated based on Simulink. Based on the physical test platform, a load step test and load disturbance test of ADRC are completed. The results show that, in comparison to the PID method, the ADRC method shortens the response time by 25% on average, and reduces the overshoot by 60% on average. So, it can be concluded that ADRC has good static and dynamic performance, which has a good guiding role for engineering practice.

An active disturbance rejection control (ADRC) method is proposed for configuration maintenance of an electromagnetically controlled spacecraft cluster. In this paper, the stability of the ADRC controller is analyzed. First, the ADRC controller is introduced. Furthermore, a Lyapunov function is constructed, and according to the positive definiteness of Lyapunov function matrix, a sufficient condition for ADRC controller is derived. Finally, numerical simulations are performed to verify the effectiveness of the controller, and the controller is confirmed to be Lyapunov asymptotically stable.

Because of the strong non-linearity, uncertainty and typical underactuated properties, as well as the restraints of rudder, the design of ship tracking controller is yet a challenge work. In this paper, the problem was investigated by utilizing the active disturbance rejection control (ADRC) method. Firstly, the ADRC was introduced briefly and the characteristics of ship tracking motion were analyzed. And the systempsilas nonlinear mathematical model with restraints and uncertainties was established. Then the system was described as a series structure, and the tracking ADRC controller was designed based on a kind of three order polynomial trajectory planning algorithm. At last, the simulations were performed. The results show that the controller designed can achieve high precision on ship tracking control and has strong robustness to ship parameter perturbations and environment disturbances.

Polymer electrolyte membrane fuel cell (PEMFC) systems for heavy-duty vehicles (HDV) are attracting attention for several reasons including tighter emission regulations and, compared with light duty vehicles (LDVs), possibility of a gradual build-up of hydrogen infrastructure during the market introduction phase, and higher allowable cost (60 $/kWe vs. 30 $/kWe) and Pt loadings.1 However, competing with the incumbent diesel technology requires longer stack lifetimes than for LDVs (30,000 h vs. 8,000 h) and higher efficiencies to compensate for the likely price differential between diesel and hydrogen.2 Heat rejection in fuel cells for HDVs can also be an issue. We conducted simulations to compare radiator heat loads in two propulsion systems for a Class-8 HDV: a 450-hp turbocharged diesel engine, and a hybrid 275-kWe FCS with a 35-kWh battery. The simulations showed that the radiator heat load at rated power is higher for the hybrid propulsion system even though it is 20% more efficient than the diesel engine. Higher heat load combined with lower operating temperature makes heat rejection in an HDV radiator more challenging for the hybrid powertrain. We conducted system analysis to determine the stack operating conditions (cell voltage and temperature) and the radiator fan power required to reject the waste heat in the HDV radiator at rated power. Figure 1 summarizes the important results of the analysis of an FCS with a compressor-expander module (CEM) for air management, 2.5-atm stack inlet pressure, no cathode humidifier, de-alloyed PtCo cathode catalyst supported on a high surface-area carbon, and 0.25 mg/cm2 total Pt loading.3, 4 Figures 1a and 1b show that the heat load and radiator fan power are strong functions of the cell voltage and stack coolant temperature. These indicate a heat transfer limit that sets the minimum coolant temperature which only depends on the cell voltage. For example, at 0.7 V cell voltage, the minimum coolant temperature is 88oC corresponding to 265 kW radiator heat load and 30 kWe fan power. The cell voltage needs to be higher than 0.75 V for stacks that operate below 80oC. Figures 1c and 1d present the net stack power (stack power minus the parasitics including radiator fan power) density and system efficiency (net power produced divided by the lower heating value of H2 consumed) as functions of cell voltage and coolant temperature. Increasing the cell voltage at fixed coolant temperature improves the system efficiency at the expense of lower power density. For a fixed cell voltage, there is an optimum temperature at which the net power density is highest. The net power density is smaller below the optimum temperature because of higher fan power, and above it because of the adverse effects of low relative humidity on Ohmic losses and ORR kinetics. As a reference point, the stack can reach 1200 mW/cm2 gross and 1015 mW/cm2 net stack power density for 0.7 V cell voltage at rated power and 88oC optimum coolant temperature. The projected power density and operating conditions are based on a model formulated using the experimental data for d-PtCo/C cathode catalysts with 0.05, 0.1 and 0.15 mg/cm2 Pt loading. Further work is required to confirm these projections by building and optimizing electrodes with 0.2 mg/cm2 Pt loading. References Marcinkoski, R. Vijayagopal, J Adams, B. James, J. Kopsz, and R. Ahluwalia, DOE Advance Truck Technologies https://www.hydrogen.energy.gov/pdfs/19006_hydrogen_class8_long_haul_truck_targets.pdf L. Borup, A. Kusoglu, K. C. Neyerlin, R. Mukundan1, R. K. Ahluwalia, D. A. Cullen, K. L. More, A. Z. Weber, and D. J. Myers, “Recent Developments in Catalyst-related PEM Fuel Cell Durability,” Current Opinion in Electrochemistry, 21, 192–200 (2020)Ahluwalia, X. Wang and J-K Peng. "Fuel Cell System Modeling and Analysis," 2019 DOE Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting, Arlington, VA, April 29 - May 1, 2019.K. Ahluwalia, X. Wang, and A.J. Steinbach, “Performance of Advanced Automotive Fuel Cell Systems with Heat Rejection Constraint,” Journal of Power Sources, 309 (2016), 178-191. Figure 1

In this paper, the problem of attitude tracking control for a class of vertical take-off landing (VTOL) aircraft in the presence of uncertain disturbances is addressed. The active disturbance rejection control (ADRC) method is utilized to address uncertain disturbances, while the radial basis function (RBF) neural network is considered for handling unknown nonlinear dynamics. By incorporating a modified tracking differentiator, a nonlinear state error feedback controller, and an extended state observer, the disturbance observation problem in the aircraft system is solved. These disturbances, seen as a combined disturbance in the aircraft system, are counteracted through the extended state observer. Furthermore, the unknown nonlinear dynamics within the aircraft system are approximated using the RBF neural network. Subsequently, the paper suggests adaptive ADRC strategies based on neural network and formulates adaptive control laws to estimate unknown parameters. The Lyapunov stability theory proves the effectiveness of the proposed control strategies. The simulation results show that the attitude tracking control problem of VTOL aircraft can be achieved under the proposed control strategies and adaptive control laws.

This study investigates the impact of time-varying jet reaction forces on ship-cleaning manipulators, focusing on joint torque fluctuations, high-frequency chatter, and the deterioration of end-effector positioning accuracy. An enhanced active disturbance rejection control (ADRC) method is proposed, which integrates jet reaction force modeling, joint torque feedforward compensation, and improvements to both the extended state observer (ESO) and the nonlinear state error feedback (NLSEF). Simulation results show that the enhanced ADRC reduces the joint stabilization time from 10 to 2 seconds, suppresses over 70% of the initial torque spikes, and decreases the ESO observation errors by more than 60%. Compared with the classical sliding mode control (SMC), the proposed method effectively eliminates high-frequency chattering phenomena and reduces control signal aggressiveness during the startup phase. This method improves trajectory tracking accuracy under strong disturbances while smoothing the control output and significantly reducing high-frequency joint chatter. These results confirm that the enhanced ADRC method improves stability and responsiveness, providing a robust framework for the reliable operation of ship-cleaning manipulators in high-disturbance environments.

To address the issue that the pressure balance between the anode and cathode of the fuel cell stack is susceptible to disturbances, a novel fuzzy active disturbance rejection control (ADRC) method is developed for fuel cell hydrogen supply systems (HSSs). According to the operating characteristics of the hydrogen fuel cell, a control-oriented third-order HSS model is established. Then, an extended state observer (ESO) is designed by integrating ADRC theory with fuzzy control theory. Furthermore, the controller is constructed by using the anode-cathode pressure difference as the input and the regulating valve opening as the output. Finally, the simulation results show that the proposed fuzzy ADRC method demonstrates excellent response speed, accuracy, and anti-interference ability in pressure tracking control. Through online estimation and dynamic compensation mechanisms, it effectively mitigates the impact of the system disturbances.

The intelligent motion control technology of Autonomous Underwater Vehicle (AUV) is the basis of long-distance voyage for AUV. The motion control capability in vertical plane is an important technical for AUV to complete multifarious missions. So, it is important and realistic significance to research on motion control in vertical plane of AUV. Motion control problem of AUV in vertical plane, especially depth control problems is researched based on active disturbance rejection control (ADRC) method in this paper. The kinetic and dynamic model in vertical plane of AUV is established and simplified. The active disturbance rejection controller design method is introduced. Detailed algorithms of each part for active disturbance rejection controller are discussed according to separability principle of ADRC. Based on ADRC, the depth controller is designed and applied in AUV. At last, simulation results indicate that the method is feasibility and effectiveness for AUV depth control.