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Bangalore, India

Mahindra Reva Electric Vehicles Private Limited, formerly known as the Reva Electric Car Company, is an Indian company based in Bangalore, involved in designing and manufacturing of compact electric vehicles. The company's flagship vehicle is the REVAi electric car, available in 26 countries with more than 4,000 of its different versions sold worldwide by mid March 2011. Reva was acquired by Indian conglomerate Mahindra & Mahindra in May 2010. In 2013, MAHINDRA REVA was selected as one of "The World’s 50 Most Innovative Companies 2013″ by Fast Company Wikipedia.

Vinodh S.,National Institute of Technology Tiruchirappalli | Kuttalingam D.,Mahindra REVA
Journal of Manufacturing Technology Management

Purpose - The purpose of this paper is to investigate computer-aided design (CAD) and computer-aided engineering (CAE) as enablers of agile manufacturing (AM). Design/methodology/approach - Based on the literature review, the importance of technology integration enablingAMhas been found.CADtechnology has been used for modelling baseline product; CAE has been used for deriving optimized parameters; new designs have been derived. Findings - The feasibility of CAD and CAE as enablers of AM has been ensured. Research limitations/ implications - The study has been conducted only in one automotive sprocket manufacturing organization. Practical implications - The practical feasibility of generating new products through technology integration has been ensured. Originality/value - Very little research has been reported on technology-integrated AM practices. In this study, CAD and CAE have been used for enabling product development. © Emerald Group Publishing Limited. Source

Vinodh S.,National Institute of Technology Tiruchirappalli | Madhyasta U.R.,Mahindra REVA | Praveen T.,National Institute of Technology Tiruchirappalli
International Journal of Production Research

Agility is the performance measure of agile manufacturing (AM) practices and with the increasing adoption of AM systems its assessment has gained in importance. This study has been undertaken to fill the observed research gap that no research has been attempted to validate an agility assessment result using an alternative effective method. The agility assessment of an Indian electric automotive car manufacturing organisation has been done using a scoring approach and validated using an effective multi-grade fuzzy method. The result indicates that the organisation was agile to an extent of 84.1% using the scoring approach and 7.05 using the multi-grade fuzzy method, which implies the organisation is agile. The gap analysis results indicate that the largest gap is observed in the case of nature of management criterion followed by devolution of authority, customer response adoption and employee involvement. Necessary actions were taken for the improvement of these agility gaps. The improvement in agile performance measures is 7.7 to 9.7 (on a Likert scale of range 0-10) after the implementation of the suggested proposals. The statistical validation study indicates the feasibility of improvement in agility after the assessment exercise with a practical success rate of 90%. © 2012 Taylor & Francis. Source

Mahindra REVA | Date: 2012-09-25

A power pack system includes an energy storage system having a plurality of energy storage devices and a thermal management system. The thermal management system includes a battery ventilation system connected to energy storage system for achieving and maintaining a predetermined temperature within energy storage system by providing a two way circulation of a working fluid. Further, the system includes a housing having a top cover and a bottom cover to receive and secure the energy storage devices therein. The top cover and bottom cover configured to retain said energy storage devices in a sealable manner. Further, a method for achieving and maintaining a pre determined temperature within an energy storage system includes providing two way circulation of a working fluid and maintaining a uniform flow velocity of the fluid at least inside the energy storage system.

A method and a system for facilitating validation of introduction of one or more features in a variant of an electrically powered system are provided. The method includes, introducing the features in plurality of electrically powered systems which are at least partially powered by electricity. Thereafter, data is collected, corresponding to at least one of the energy storage system and the energy consumption system of each of the plurality of electrically powered systems, based on the data required for validating the features introduced in the electrically powered system. The collected data corresponding to the energy storage system and the energy consumption system is transmitted to a remote location, thereby enabling analysis of the data, at the remote location, for validating introduction of the at least one feature in the variant of the electrically powered system.

A system and method is provided for estimating and enhancing performance that can be delivered by an energy storage system beyond the energy storage systems warranty period. The system includes an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system. The system is configured to estimate performance delivered by the energy storage system beyond the energy storage systems warranty period, identify adaptations to be made to enhance the performance of the energy storage system, and make adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system beyond the energy storage systems warranty period.

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