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The power management control system development and vehicle test results for a medium-duty hybrid electric truck are reported in this paper. The design procedure adopted is a model-based approach, and is based on the dynamic programming technique. A vehicle model is first developed, and the optimal control actions to maximize fuel economy are then obtained by the dynamic programming method. A near-optimal control strategy is subsequently extracted and implemented using a rapid-prototyping control development system, which provides a convenient environment to adjust the control algorithms and accommodate various I/O configurations. Dynamometer-testing results confirm that the proposed algorithm helps the prototype hybrid truck to achieve a 45% fuel economy improvement on the benchmark (non-hybrid) vehicle. It also compares favorably to a conventional rule-based control method, which only achieves a 31% fuel economy improvement on the same hybrid vehicle.

Biodegradable hydraulic fluids have been introduced relatively recently and, initially, acceptable environmental performance and technical performance were neither well specified or controlled. Over the past few years, many standards and specifications have been written, especially in the area of biodegradability and ecotoxicity. Technical performance test requirements are emerging more slowly, however, and there is still some doubt over appropriate tests and limits for some performance areas. The proliferation of standards is confusing to both the product developer and fluid user. This paper summarizes the common biodegradability and ecotoxicity elements in the main environmental performance standards. It also discusses appropriate laboratory performance tests for oxidation stability, hydrolytic stability and wear, and sets acceptable limits in these tests, based on correlation of lab and field performance of two synthetic ester based hydraulic fluids.

This paper addresses Hardware-In-the-Loop modeling and simulation for Diesel aftertreatment controls system development. Lean NOx Trap (LNT) based aftertreatment system is an efficient way to reduce NOx emission from diesel engines. From control system perspective, the main challenge in aftertreatment system is to predict temperature at various locations and estimate the stored NOx in LNT. Accurate estimation of temperatures and NOx stored in the LNT will result in an efficient system control with less fuel penalty while still maintaining the emission requirements. The optimization of the controls will prolong the lifespan of the system by avoiding overheating the catalysts, and slow the progressive process of component aging. Under real world conditions, it is quite difficult and costly to test the performance of a such complex controller by using only vehicle tests and engine cells.

A number of different data networks have been implemented for electronic control unit communication in vehicles to date. Each network serves a particular need, such as low-cost networking of cab components or high-speed networking of powertrain components. Although each communication network performs its original purpose, the different communication networks, especially those using hardware-based messaging protocols, are expensive to integrate for information sharing and are not readily upgradeable with new messages. This is complicated by the growing number of different communication networks for vehicles, often driven by OEM and supplier technology consortiums rather than by end-user requirements. The result is added vehicle-support costs for the OEM, dealership and customer to maintain multiple networks.

Car hauler ramps have historically been hydraulically positioned via banks of manual control valves that provide limited operator visibility and flexibility. On some enclosed type haulers, manual valves are not feasible. An electro-hydraulic system has been developed utilizing on/off solenoid valve stacks. A handheld control unit with a membrane switch pad communicates with a valve interface module near each valve stack. The handheld unit and the interface modules each have microprocessor circuitry to provide intelligent distributed control. Self monitoring circuitry provides safety features and system diagnostics. Wiring harness assemblies connect the valve stacks to the interface modules. A retractile cable from the handheld unit to the trailer allows improved operator mobility and visibility. An infrared wireless interface between the trailer and handheld unit will also be available.

A simulation framework with a validated system model capable of estimating fuel consumption is a valuable tool in analysis and design of the hybrid vehicles. In particular, the framework can be used for (1) benchmarking the fuel economy achievable from alternate hybrid powertrain technologies, (2) investigating sensitivity of fuel savings with respect to design parameters (for example, component sizing), and (3) evaluating the performance of various supervisory control algorithms for energy management. Presenter Chinmaya Patil, Eaton Corporation

A simulation framework with a validated system model capable of estimating fuel consumption is a valuable tool in analysis and design of the hybrid vehicles. In particular, the framework can be used for (1) benchmarking the fuel economy achievable from alternate hybrid powertrain technologies, (2) investigating sensitivity of fuel savings with respect to design parameters (for example, component sizing), and (3) evaluating the performance of various supervisory control algorithms for energy management. This paper describes such a simulation framework that can be used to predict fuel economy of series hydraulic hybrid vehicle for any specified driver demand schedule (drive cycle), developed in MATLAB/Simulink. The key components of the series hydraulic hybrid vehicle are modeled using a combination of first principles and empirical data. A simplified driver model is included to follow the specified drive cycle.

Recent studies have shown that hydraulic hybrid drivelines can significantly improve fuel savings for medium weight vehicles on stop-start drive cycles. In a series hydraulic hybrid (SHH) architecture, the conventional mechanical driveline is replaced with a hydraulic driveline that decouples vehicle speed from engine speed. In an effort to increase the design space, this paper explores the use of a fixed displacement checkball piston pump in an SHH driveline. This paper identifies the potential life-limiting components of a fixed displacement checkball piston pump and examines the likelihood of surface fatigue in the check valves themselves. Numerical analysis in ABAQUS software suggests that under worst case operating conditions, cyclic pressure loading will result in low-cycle plastic deformation of check valve surfaces.

This paper discusses the effect of torque vectoring differential on improving vehicle handling and stability performance. The torque vectoring concept has been analyzed. The vehicle discussed in this paper is an AWD vehicle with torque vectoring differential in the rear and a torque biasing center differential. First, simulation results with vehicle model in CarSim® and torque vectoring control algorithm in Matlab®/Simulink® is discussed. Then, experimental results for vehicle tested at winter and summer test facility is presented. Both simulation and experimental results demonstrate the effectiveness of torque vectoring differential on vehicle handling & stability.

The use of electrical contacts in aerospace applications is crucial, particularly in connectors that transmit signal and power. Crimping is a widely preferred method for joining electrical contacts, as it provides a durable connection and can be easily formed. This process involves applying mechanical load to the contact, inducing permanent deformation in the barrel and wire to create a reliable joint with sufficient wire retention force. This study utilizes commercially available Abaqus software to simulate the crimping process using an explicit solver. The methodology developed for this study correlates FEA and testing for critical quality parameters such as structural integrity, mechanical strength, and joint filling percentage. A four-indenter crimping tool CAD model is utilized to form the permanent joint at the barrel-wire contact interfaces, with displacement boundary conditions applied to the jaws of the tool in accordance with MIL-C-22520/1C standard.

Typical traction control systems based on brake intervention have the disadvantage of dissipating an amount of energy roughly equal to that spent in biasing the high-friction wheel. Fully locked differentials achieve the best possible longitudinal traction but, in situations such as slippery or split-friction (split-μ) surfaces, the lateral dynamics of the vehicle can be degraded and deviate from the driver's intended direction. This paper presents an active stability control strategy using electronic limited slip differentials to enhance the vehicle lateral dynamics while preserving longitudinal motion. The proposed control system includes stability enhancement of the traction control and yaw stability control. The stability-enhanced traction control is evaluated under the condition of straight-line full-throttle launching on a split-μ ice/snow surface. The experimental data show a significant stability improvement in a traction mode.

The automotive industry has seen accelerating demand for electrified transportation. While the complexity of conventional ICE vehicles has increased, the powertrain still largely consists of a mechanical system. In contrast, vehicle architectures in electrified transportation are a complex integration of power electronics, batteries, control units, and software. This shift in system architecture impacts the entire organization during new product development, with increased focus on high power electronic components, energy management strategies, and complex algorithm development. Additionally, product development impact extends beyond the vehicle and impacts charging networks, electrical infrastructure, and communication protocols. The complex interaction between systems has a significant impact on vehicle safety, development timeline, scope, and cost.

A special vehicle dynamometer has been developed that allows engineers to evaluate driveline components and control algorithms for advanced, electrically-assisted drive systems on commercial vehicles. This dynamometer allows objective measurements of performance, fuel economy, and exhaust emissions, while the full vehicle is operated over a specified driving cycle. This system can be used to exercise the electric motor, engine, transmission and battery systems on Medium Duty Hybrid Trucks - in regeneration as well as power mode - all indoors and in a controlled, repeatable environment. This paper will provide descriptions of the operating goals, control features, and results of testing with this dynamometer. Once the various parameters have been optimized for fuel and emissions performance in this facility, the vehicle can be evaluated where it counts - on the road.