Tesla Model 3 no Brake Lights ? 電動車有沒有煞車燈 ? 不會亮 ? (English Subtitles)

Tai Choo Yee 戴祖億

24 Jan 202416:15

Summary

TLDRThe video reviews the Tesla Model 3's one-pedal driving experience using regenerative braking. It examines if brake lights turn on when the driver lifts their foot off the accelerator to slow down, on highways and local roads. Findings show lights don't instantly turn on, depending on speed. The system aims to maximize energy efficiency. Overall, electric one-pedal driving is enjoyable, with less start-stop strain on components. Pricing shows Model 3's value, significantly undercutting performance rivals in markets like Germany.

Takeaways

😀 The video discusses the owner's experience with the Tesla Model 3's one-pedal driving mode
🚗 The one-pedal mode allows the driver to accelerate and decelerate using only the accelerator pedal
👣 The driver does not need to use the brake pedal in most situations
⏱ Regenerative braking recharges the battery when decelerating instead of wasting energy
🛑 It is unclear if brake lights turn on when decelerating without pressing the brake pedal
🔋 Driving style has a big impact on energy consumption in an EV
😊 The driver enjoys the one-pedal driving experience
💶 In Germany, the Tesla Model 3 costs a similar amount as a BMW M340i
💵 The tax exemption makes EVs very cost effective in Malaysia
👍 The video aims to educate viewers about the ownership experience of the Tesla Model 3

Q & A

What driving mode does the Tesla Model 3 use that allows driving with one pedal?
-The Tesla Model 3 uses the E-Pedal driving mode which allows one pedal driving by controlling both acceleration and deceleration with the accelerator pedal.
Does the Tesla Model 3 have brake lights when slowing down using regenerative braking?
-It is unclear from the transcript if the brake lights activate when only using regenerative braking to decelerate. The driver tested it but did not confirm if the brake lights were activated.
How much cheaper is the Tesla Model 3 compared to a BMW M340i in Germany?
-The transcript states that a Tesla Model 3 Long Range costs around €52,000 in Germany whereas a BMW M340i costs around €52,000. So the Tesla is significantly cheaper.
What is the best selling electric vehicle in Europe in 2023?
-The transcript mentions that the Tesla Model Y was the best selling electric vehicle in Europe in 2023.
What does the driver like about driving the Tesla Model 3 compared to a gasoline car?
-The driver likes the smooth and efficient one pedal driving, the quietness from the acoustic glass, and the lack of noise and vibration from the electric drivetrain.
How far can the Tesla Model 3 travel on a 3% battery charge?
-The driver stated they drove around 25km and used 3% battery charge, so a full charge should allow around 800km of range.
What is the price of the Tesla Model 3 in Malaysia that the driver purchased?
-The driver stated they purchased the Tesla Model 3 with white leather interior for RM223,000 in Malaysia after tax incentives.
What driving assists are available in the Tesla Model 3?
-The transcript mentions the Tesla has adaptive cruise control (ACC) available.
Why does electric vehicle adoption remain low in Malaysia?
-The high selling price, lack of public charging infrastructure, and lack of government incentives and tax breaks are likely factors.
What are some of the driver's suggestions for creating more Tesla Model 3 review videos?
-The driver suggests creating more videos focused on different aspects like driving experience, Autopilot features, charging infrastructure to educate potential buyers.

Outlines

00:00

😊 Introducing the video topic and outline

The host welcomes viewers and introduces episode 4 on owners' reviews of the Tesla Model 3 electric vehicle. He outlines topics to be covered including using one-pedal driving, regeneration braking, and whether brake lights activate when easing off the accelerator.

05:01

😃 Demonstrating one-pedal driving

The host demonstrates one-pedal driving in the Model 3, speeding up and slowing down by modulating the accelerator pedal. He points out benefits like efficiency and smoothness compared to starting and stopping in a gasoline car. He tests whether brake lights activate when easing off the accelerator at different speeds.

10:02

😕 Observing brake light behavior through cornering

The host focuses on observing brake light behavior when cornering without using the brake pedal. He speeds up and then lets off the accelerator when entering corners, asking whether brake lights are triggered. He notes that electric cars' low center of gravity allows faster cornering.

15:02

🤔 Testing brake lights at a complete stop

Approaching a red light, the host brings the car to a complete stop by easing off the accelerator. He observes whether brake lights activate when slowly moving from 0 up to around 20 km/h by modulating the pedal. He notes the pedal needs continuous modulation to prevent gliding.

🙂 Recapping key points and appeals

The host recaps previous episodes and appeals to viewers to watch them. He compares the Model 3's pricing internationally. He welcomes questions and plans for future episodes to educate viewers on electric vehicle ownership.

Mindmap

Keywords

💡electric vehicle

Electric vehicles (EVs) run on electricity instead of gasoline. The video discusses driving and owning an EV, specifically the Tesla Model 3. The host shares his experience with EV features like one-pedal driving, regeneration, and low center of gravity.

💡one-pedal driving

One-pedal driving allows EV drivers to accelerate and decelerate using only the accelerator pedal. It works through regenerative braking, where releasing the accelerator pedal slows the car down and recharges the battery. The host demonstrates one-pedal driving throughout the video.

💡regeneration

Regenerative braking, or regeneration, is a process where an EV's electric motor acts as a generator to convert the car's kinetic energy into electricity as it slows down. This recharges the battery and allows one-pedal driving. The host emphasizes regeneration as a key benefit of EVs.

💡range anxiety

Range anxiety refers to the fear of an EV's battery running out before reaching the destination. The host notes regeneration only used 3% of the battery for his 25km daily commute, reducing range anxiety.

💡low center of gravity

The battery pack in EVs gives them a lower center of gravity than gasoline cars. This improves handling and cornering, as the host demonstrates taking turns easily without braking.

💡torque

Electric motors provide instant torque or rotational force, allowing quick acceleration. The host mentions EVs can "defy gravity" and overtake cars easily due to instant torque.

💡one pedal driving

One pedal driving allows the driver to speed up and slow down using only the accelerator pedal in an EV. The regenerative braking system slows the car when the driver lifts off the accelerator.

💡regenerative braking

Regenerative braking converts the EV's kinetic energy into electricity as it slows down. This recharges the battery while also slowing the car with no friction brakes needed.

💡electric motor

Electric vehicles use an electric motor instead of an internal combustion engine. The motor provides instant torque for acceleration and also facilitates regenerative braking.

💡brake lights

The video examines if brake lights activate when regenerative braking in an EV. The host tests different speeds and concludes the lights work as expected to warn other drivers.

Highlights

Proposed a new convolutional neural network architecture called AlexNet that revolutionized computer vision.

AlexNet won the 2012 ImageNet competition by a significant margin, proving the superiority of deep learning for image classification.

Showed that neural networks could match or exceed human-level performance on difficult visual recognition tasks.

Demonstrated how graphic processing units (GPUs) could accelerate deep learning computations by orders of magnitude.

Introduced dropout regularization to reduce overfitting in deep neural networks.

The AlexNet architecture established convolutions as the core building block for computer vision models.

Proved that large labeled datasets like ImageNet were crucial to training deep neural networks.

Showed how ReLU activations could enable efficient training of deep convolutional neural networks.

Demonstrated how max pooling layers made CNNs more invariant to distortions and translations.

Popularized techniques like data augmentation and local response normalization for training computer vision models.

The breakthrough results led to an explosion of research and progress in applying deep learning to computer vision.

Enabled real-world applications like image recognition, detection, segmentation in robotics, self-driving cars.

Showed that end-to-end training works better than manually engineered feature extraction pipelines.

Demonstrated the ability of neural networks to learn abstract representations directly from pixels and raw data.

Changed computer vision from an engineering challenge to a deep learning problem that could be solved algorithmically.