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Electric car Nissan Leaf 2018

10.09.2017

Nissan has unveiled the 2018 Nissan Leaf electric car, which features an updated platform, extended range, redesigned design, drag coefficient of 0,28, e-Pedal smart accelerator pedal, ProPilot driver assistance system and an attractive price.

The 2016 Nissan Leaf was equipped with a 30 kWh battery, while the novelty will receive a 40 kWh battery, which should allow the car to travel 240 km according to the American EPA measuring cycle, or up to 400 km according to the Japanese JC08 cycle.

The power of the electric motor has grown to 147 hp, and the maximum torque reaches 320 Nm. When using proprietary high-speed charging, the battery can be charged up to 80% in 40 minutes. A three-kilowatt charge will take 16 hours to fully replenish the battery capacity.

The ProPilot system is able to maintain a safe distance from the nearest vehicles in front and behind, as well as maintain a set speed in the range of 30 to 100 km/h. In addition, ProPilot is designed for highway driving and only within one lane. Another ProPilot Park system will help the driver to park.

The electronic accelerator pedal e-Pedal allows you to drive the car without using the brake pedal. This functionality is activated by a special switch on the steering wheel.

The base version is priced at $29 and will go on sale next year.

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TI announces new DSPs 09.03.2008

Modeling of the system and the initial implementation of the algorithm in most cases is based on floating point arithmetic. After that, the debugged algorithm is loaded onto a microcontroller or a fixed-point digital signal processor.

Floating point processors are used only in applications that require high precision and performance, where the cost of the end device is not critical. For such applications, Texas Instruments has released TMS320F28335, TMS320F28334, TMS320F28332 floating point digital signal processors. But, as before, it did not stop there. There are new TMS320F2823x fixed point DSPs that are software and hardware compatible with TMS320F2833x floating point processors.

Now users can simulate the system, debug it on the floating point platform (TMS320F2833x), and then simply recompile the resulting program code under the TMS320F2823x, thereby reducing development time (the time it takes to download the application to the fixed point platform) and the cost of the end device.

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