Bangalore, India
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.

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Vinodh S.,National Institute of Technology Tiruchirappalli | Kuttalingam D.,Mahindra REVA
Journal of Manufacturing Technology Management | Year: 2011

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.


Vinodh S.,National Institute of Technology Tiruchirappalli | Madhyasta U.R.,Mahindra REVA | Praveen T.,National Institute of Technology Tiruchirappalli
International Journal of Production Research | Year: 2012

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.


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.


Patent
Mahindra REVA | Date: 2010-04-30

A method and system for identifying at a remote location provide at least one condition associated with an energy system (102) and control the energy system (102) The energy system (102) includes an energy storage system (ESS) (104) capable of storing electric energy, an energy consumption system (ECS) (106) capable of consuming electric energy from the ESS (104) and an energy management system (EMS) (108) capable of interacting with the ESS (104) and the ECS (106) A parameter associated with the ESS (104) is measured, and the measured parameter is compared with reference data to determine the deviation of the measured parameter from the reference data, and the deviation indicates the condition of the energy system (102) The deviation is determined by the EMS (108) or at the remote location, and the deviation is sent to the remote location while the deviation is determined by the EMS (108).


Patent
Mahindra REVA | Date: 2010-04-30

A method and a system for determining compensation to be paid for using any one of an energy storage system and an energy system are provided. The energy system is at least partially powered by electricity stored in the energy storage system. The method includes, determining the amount of consumption of electric energy from the energy storage system during a period of usage, and determining the carbon credit associated with the energy storage system or the energy system during the usage. Thereafter, the compensation is calculated based on the amount of consumption of the electric energy and the carbon credit.


Patent
Mahindra REVA | Date: 2014-09-08

Disclosed herein are a method and a system for automatic and intelligent determination and usage of internal reserve energy in an energy system associated with a vehicle. The system processes pre-configured inputs and inputs collected in real time, generates a distribution optimization profile which possesses information on values of different control parameters required to keep selected components operational, by considering energy availability in the energy storage system. Further, the system distributes energy to selected components, based on the distribution optimization profile. Further, the system verifies whether the selected distribution optimization profile matches a safe use profile and if not, automatically overrides settings associated with the distribution optimization profile to ensure safe driving of the vehicle, with at least a minimum comfort level.


Patent
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.


News Article | May 26, 2010
Site: gigaom.com

One of India’s largest utility vehicle makers, Mahindra & Mahindra, has bought a majority stake in electric car maker Reva, which is based in Bangalore, has partnered with General Motors and is backed by the venture capitalists at Draper Fisher Jurvetson. Mahindra acquired a portion of the founders’ stock in the company, as well as about $10 million in new shares as part of the deal to gain a 55.2 percent controlling stake in Reva — and access to the company’s electric car technology. Some of the goals for this buyout include plugging Reva’s electric vehicle technology into Mahindra’s distribution network and vehicle development processes, “significantly enhancing” the ability of Reva (now dubbed Mahindra REVA), “to launch a state-of the-art electric vehicle for global markets.” According to Wednesday’s announcement about the deal, Mahindra hopes the deal with Reva, which makes some the world’s best-selling small electric cars, will help it expand its “green footprint” in India as well as overseas. This isn’t the first time Reva’s technology and momentum has captured attention from a major automaker. GM India joined hands with Reva in 2009 to develop an electric version of GM’s Chevrolet Spark, with plans to launch the plug-in model in India by the end of this year and tap into a growing market for small electric vehicles. But GM India President P. Balendran issued a statement on Wednesday saying the automaker may not continue the Spark EV project with Reva, “in light of this development.” Rather, he said GM will pursue its own electric vehicle program. On the heels of the Spark deal last fall, Karl Slym, president and managing director of GM India told the New York Times that Reva’s technology is “second to none,” explaining that the Bangalore company’s main appeal stemmed from a drive train that could be installed relatively easily in a range of vehicles with different types of battery. The brainchild of Chetan Kumar Maini, who studied mechanical engineering at the University of Michigan and Stanford, Reva got its start in 1994 as a joint venture between the Maini Group India and California-based AEV LLC. Reva launched its first electric vehicle nearly a decade ago in India, and now sells vehicles in 24 countries. In 2006 Draper Fisher Jurveston led a $20 million round of investment in the company, and last fall Reva said it was on track to turn a profit in 2010. According to today’s release, Reva now has “an overall vehicle population of over 3,500, arguably the largest EV fleet globally.” Mahindra, meanwhile, has been working on tech for diesel hybrid and hydrogen three-wheelers, as well as an electric version of its Maxximo mini-truck. Part of the Mahindra Groupconglomerate, the company started selling an electric three-wheeler back in 1999 and has a pilot fleet of vehicles running on biodiesel. Mahindra claims to have some 50,000 microhybrids on Indian roads today. At the Frankfurt Motor Show in September, Reva unveiled a new electric model called the NXG, which is now slated to launch in mid 2012. Designed to go 125 miles on a charge and max out at 80 MPH, Reva has said the car will sell for 23,000 euros and up. Details also came out at Frankfurt about a model called the NXR, which Reva said would come with options for either lead acid or lithium-ion batteries, sell for less than 10,000 euros, provide 100 miles of range and deliver a top speed of 65 MPH (plus a system for phone-controlled charging). Previously planned for production in early 2010, the NXR is now set to launch in the first quarter of 2011.

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