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In fleet uses, heavy-duty trucks with turbo, inter-cooled engines are popular in Japan. These trucks usually experience congested traffic and/or frequent road grade change in expressways. As a result, frequent vehicle speed and engine load fluctuations are observed. This paper describes the typical, on road driving data from the field and presents one sample of engine control optimization for better fuel economy in actual road conditions.

To investigate fuel economy of actual road traffic currently experienced in Japan by analyzing the records of sixteen truck drivers. In order to characterize the driving style of each driver, energy consumption relating to road load are integrated from the time series records for each data set and compared with actual fuel economy results. Through this study, a wide range of driving records are analyzed to determine fuel economy in actual road traffic. The consumed energy (kwh/km), which is the sum of road load defined in this paper was found to be the dominant value in determining fuel economy in actual road traffic.

This paper shows one example of cooling system, optimized by utilizing computer simulation in the early development stage. First, a numerical simulation is conducted to obtain the air flow rate through engine compartment room by the software “STREAM”. Second, ΔTw are calculated by the software “KULI”, developed by Steyr-Daimler-Puch AG, to evaluate the original cooling system. Third, the optimization of this system is conducted by the design of experiment for cost saving and weight reduction. The test value was well matched with the calculated one and CAE was confirmed to be very helpful for saving the proto-build cost and time period.