A series hydraulic hybrid drive train for application in a passenger car is described. This 'Hydrid' drive train features an in-wheel hydraulic motor in all four wheels, hydraulic transformers for power control and hydraulic-pneumatic accumulators for energy storage and power management. The hydrostatic components are based on the highly efficient floating cup principle. The result is an efficient all-wheel drive vehicle with variable traction control on the front and rear axis. The fuel economy and the CO2-emission of the drive train are calculated for a mid-class sedan while driving the New European Driving Cycle (NEDC). The efficiency of the hydrostatic components is derived from efficiency measurements of the floating cup pump. KEY WORDS Series Hybrid Hydraulic Vehicle Efficiency NOMENCLATURE This demand cannot be ful filled with current electric components [5]. Furthermore the electric transmission will substantially increase the weight and the cost of the transmission if the vehicle performance is not to be compromised.

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Nowadays, mobile robots has a significant status in real life and industrial applications. A mathematical model of the Tricycle Mobile Robot (TMR) is introduced. A prototype of TMR with steering wheel was established. The current research presents different control techniques of TMR with auditory systems to further enhance human-robot interaction. Controlling the velocity and azimuth angle of the TMR was discussed and examined by three methods. They are Fuzzy Logic Controller (FLC) alone, fuzzy logic based on PID controller and Fuzzy Inference System (FIS) with the lookup table. All of each controller is examined with trapezoidal, triangular and Gaussian membership function, also compared with two inputs as unit step and unit sinusoidal input. The results show that the FIS with lookup table has the best output response and control signal at the sinusoidal input. Also, the minimum error signal occurs for FIS with lookup table with trapezoidal membership function at the unit step input.