Modern automobiles need to become more efficient to comply with future fuel economy standards. Much of this efficiency can be gained with innovations that depend on the vehicle’s electrical system. Technological innovations such as stop-start, drive-by-wire, and brake-by-wire systems are just a few of these improvements. An intelligent battery sensor unit gives precise and on-demand current, voltage and temperature measurements from the battery. This information enables accurate state of charge and state of health calculations to be performed, ensuring the electrical system works at the highest level of efficiency. In addition to being able to monitor the battery, the intelligent battery sensor also helps to detect defective electronic components in the car. The sensor enhances the automobile’s diagnostic ability and can thus warn of possible breakdowns that may not even be caused by the battery. Moreover, IBS helps to extend battery life by 10 to 20 percent via an improved charging strategy. In the automotive industry, because of government policies related to the environment, major companies are shifting toward hybrid and pure electric vehicles . However, the heavy cost associated with these sensors would pose a threat to the adoption of these systems.
The automotive intelligent battery sensor market can be segmented by technology, application, vehicle type, and region. Based on technology, the market can be categorized into Local interconnect network, controller area network, and motor controller unit. An IBS uses an LIN communication protocol to send the results of these measurements to the vehicle’s electronic control unit (ECU) or other control system. LIN is a robust protocol with a great noise tolerance for automotive environments. A LIN bus is available on most new production models, or can easily be developed with simple microcontrollers when using the IBS in other automotive or non-automotive applications.
Based on vehicle type, the automotive intelligent battery sensor market can be classified into passenger vehicles and heavy commercial vehicles. In the category of passenger vehicles, demand for hatchbacks, SUVs, and sedans is high currently. For the upcoming forecasting period, demand for electric vehicles is expected to be high due to increased demand for fuel efficient vehicles and government policies across the globe which is expected to drive demand for automotive intelligent sensors.
Based on application, the automotive intelligent battery sensors market can be categorized into start stop, break by wire, and drive by wire. Start stop application is mostly used in all vehicles. All systems like ECU, safety monitoring, lighting, navigation, climate and general comfort systems drains out power from the car’s battery that can be harmful for the car battery if not monitored closely. Current stop-start models address this by either turning off the comfort systems while the car is stopped, or by routinely restarting the engine to ensure the battery is kept charged throughout the stop. A proper battery management sensor could better ensure that the battery is operating at safe levels. This would increase fuel economy even further by forcing the car to restart when, and only when, it is absolutely necessary during a stop. It could even allow the vehicle’s comfort system to be intermittently pulsed on and off as needed without an engine restart when the battery condition is in a known safe operating area, giving the driver a more comfortable in-car experience.
Based on region, the automotive intelligent battery sensor market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Asia Pacific holds major share of the global automotive intelligent battery sensor market. Exponential growth of the automotive sector in India, China, and Japan are projected to influence the growth of the automotive intelligent battery sensor market during the forecast period.
Some of the significant players in the automotive intelligent battery sensor market are Continental AG, Mouser Electronics, Inc., HELLA GmbH & Co. KGaA, Inomatic GmbH, Qinuo Electronics Co. Ltd, NXP Semiconductors, AMS AG., and EDN Network.
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