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In today’s Indian automotive industry, vehicles are becoming more complex and require more efforts to develop. Also, new and upcoming regulations demand more trials under varied driving conditions to ensuring robustness of emission control. Combined with expectations of customer to get new products more frequently, requires solutions and methods that can allow more trials with required accuracy to ensure compliance to stricter regulation and delivery a quality product. This translates into more trials in less time during the development life cycle. Recently, to overcome above challenge, there has been focus on simulating the vehicles trials in engine bench environment. ‘Road to Lab to Math’ (RLM) is a methodology to reduce the effort of On-road testing and replace it with laboratory testing and mathematical models. Also, on-road testing of prototype vehicles is expensive as it requires physical parts.

Automotive manufacturers are striving to improve the real-world driving experience for customers. To provide the better overall performance like fuel economy, we must have the real world driving behavior of our customers. The driving behavior of customers may change from city to city or region to region. Thus to make a real representative driving behavior of customer for each different region becomes tedious task. The present paper describes a detailed methodology to make a representative driving pattern quickly based on a Matlab script. The vehicles were driven in major Indian cities (Delhi, Mumbai, Nasik and Pune). The data was recorded with a frequency of 1 Hz. This data is segregated into different short trips. These short trips are grouped together based on maximum vehicle velocity in each short trip & velocity acceleration frequency distribution. Velocity acceleration frequency distribution of individual short trip is compared with each other quantitatively using Matlab script.

Compressed natural gas has been largely regarded as a clean fuel for vehicle application, and is being increasingly used in the industry to reduce pollution and as an alternate fuel to gasoline & diesel. CNG has the potential to reduce emissions, provide greater fuel efficiency and reduce import costs. Moreover, it is more economical as compared to other fuels. CNG injection technology was developed with the aim of providing improved emissions and performance equivalent to gasoline engines by better control in fuel metering. Consistent efforts are being made to improve the performance of the injectors by doing design changes and value engineering for improved injection performance, noise reduction etc. New improved injectors can be implemented in the existing system with minimum effort by thoroughly studying the design differences of the injectors.