轮胎评价 Nexen N'Fera Primus V 2949

  • Nexen N'Fera Primus V
    Nexen N'Fera Primus V

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  • Средняя оценка шин Nexen N'Fera Primus V пользователями сайта: 4.89586 из 5
  • Количество отзывов на шины Nexen N'Fera Primus V: 2452 шт.
  • Место в рейтинге: 37
  • Место в рейтинге (летние): 22
干燥道路操控
湿润道路操控
行驶舒适度
行驶中的低噪音水平
制动效能
抗水漂能力
速度特性
耐磨性
制造质量
性价比
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  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    5

    我很喜欢这款轮胎,在炎热的天气和雨天的路面上进行了充分的测试,尤其是在弯道和雨天的路面上。
    总的来说,轮胎的抓地力非常好,达到满分(5分)。
    在湿润的路面上,轮胎的抓地力非常好,排水性能也很好。
    从实际使用来看,没有什么值得抱怨的地方。
    如果有一个小缺点,就是噪音有些大,但可能价格也会相应调整。
    总体来说,我很满意。

    车辆:
    Volkswagen Polo Sedan
    尺寸:
    195/65 R15 91V
    是否会再次购买?:
    很可能
    城市:
    莫斯科
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    评分
    5

    優秀的輪胎,安靜,抓地力優異,在彎道中行駛得很好,儘管側壁較軟,但在200的速度下,感覺還不錯,暫時沒有發現什麼缺點。推薦給大家。

    车辆:
    Volkswagen Jetta
    是否会再次购买?:
    很可能
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    评分
    5

    平衡调整完成了,没有任何问题。轮胎很软,很安静。我推荐所有人购买。第一次使用的印象很好,以前用过布里吉斯通,没有感觉到有什么区别。

    车辆:
    Volkswagen Polo
    是否会再次购买?:
    肯定会
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    5

    很好的轮胎,在干燥的沥青路面上抓地力很好,强烈的雨天没有试过,可能不是最好的,但是接近顶级。尺寸很少见,比标准宽,R14 195x60,我用它替换了原装的185-65,稳定性有所提高

    车辆:
    Hyundai Accent
    尺寸:
    195/60 R14 86H
    是否会再次购买?:
    很可能
    城市:
    罗斯托夫-纳-顿
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    5

    **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, the method comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the extracted information is used to generate an electronic document.

    2. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted information to the user.

    3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

    5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns and provide the extracted information to a notetaking application.

    6. A method for automatically capturing information from audio data, comprising: detecting starting conditions using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

    7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns.

    8. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

    9. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.

    10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.

    11. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

    12. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
    11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
    11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    2. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
    7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module; wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application to generate an electronic document.
    11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns, wherein the system provides the extracted information to a notetaking application.
    12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.
    14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application for generating an electronic document.
    15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module, wherein the system uses the modules to detect starting conditions, process audio data, and identify salient patterns to provide extracted information to a notetaking application.

    **Claims**:
    1. A computer-implemented method for automatically capturing information from audio data and computer operating context.
    2. A system for capturing information from audio data, comprising: an activity detection module; a speech recognition module; and a pattern detection module.
    3. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
    4. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
    5. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
    6. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
    7. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
    8. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules.
    9. A computer-implemented system for capturing information from audio data, comprising: a computer operating context that includes an activity detection module, a speech recognition module, and a pattern detection module.
    10. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
    11. A system for capturing information from audio data, comprising: an activity detection module to detect starting conditions; a speech recognition module to process audio data; and a pattern detection module to identify salient patterns.
    12. A computer-implemented method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
    13. A system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.
    14. A method for automatically capturing information from audio data, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules.
    15. A computer-implemented system for capturing information from audio data, comprising: a computer operating context; an activity detection module; a speech recognition module; and a pattern detection module.

    尺寸:
    215/65 R16 98H
    评分
  • 关于轮胎 Nexen N'Fera Primus V

    评分
    5

    205×55R16的软质、无噪音、稳定性强,在急弯时表现还不错。
    无论是在干燥还是湿润的道路上,都没有感觉到特别大的差异,在抓地力方面表现良好。
    对这款轮胎非常满意,驾驶感受很好。

    车辆:
    Hyundai Solaris
    是否会再次购买?:
    很可能
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    4.4

    您好!这款轮胎很好。在去白俄罗斯的途中购买了它,结果从沃洛格达到穆罗姆,然后到明斯克,接着到布列斯特,在白俄罗斯境内也行驶了不少公里,总共大约开了5000公里甚至更多。这款轮胎很柔软,不会发出噪音,无论是在干燥还是湿润的道路上,都能很好地保持行驶的稳定性。对这款轮胎很满意。

    车辆:
    Volkswagen Polo Sedan
    尺寸:
    185/60 R15 84H
    是否会再次购买?:
    很可能
    城市:
    沃洛格达
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    4.1

    使用5个月后,侧面出现了小毛病,轮胎变得不平整
    ,在车辙里行驶时抓地力差,车辆会被牵引

    车辆:
    Renault Kaptur
    尺寸:
    215/65 R16 98H
    是否会再次购买?:
    绝对不会
    城市:
    Павловский Посад
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    商品在莫萨夫托什娜购买
    评分
    1

    在度假之前,我购买了一套225 40 18的轮胎。不知道是店铺仓库存储的问题还是其他原因,但所有的轮胎都完全歪斜。28千块钱被浪费了。我永远不会再在这家店购买任何东西,尽管我以前只在这里购买轮胎。

    车辆:
    Opel Astra OPC
    尺寸:
    225/40 R18 92W XL
    是否会再次购买?:
    很可能
    城市:
    莫斯科
    干燥道路操控
    湿润道路操控
    行驶舒适度
    直线行驶稳定性
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比
  • 关于轮胎 Nexen N'Fera Primus V

    评分
    1

    完全磨损前轮胎仅在5000公里的行驶里程和6个月的使用时间里就已经完全磨损了,使用地点在罗斯托夫-瑙-多努.
    Nexen N"Fera Primus V 215/55 R16 97W XL - DOT 1JJUDHEDC 4324 (制造地中国,2024年10月份)
    当我在网站上购买时,没有说明制造地点,所以我尝试通过电话询问,得到的回答是制造地点在韩国.
    当我到店里取货时,才发现制造地点是中国,本应该拒绝的,但是又要花时间重新选择、订购和等待,所以我决定试试看 - 愚蠢的决定.
    半年后,我写信给保修部,详细说明了情况(如下)并附上了照片,提到如果用刀刮去胎面上的物料,很容易就会被刮掉,并在后续的通信中提到了这一点.
    一个月后,我根据投诉把轮胎送到了同一家店铺,店铺接受了,但是我得到的回复却花了半年以上的时间.
    当然,不要妄想会有保修 - 没有。他们寄来了拒绝的结论和一堆国家标准,说明轮胎没有生产缺陷,
    而轮胎的过度磨损是由于违反使用规则,例如引语 - "激进的驾驶风格,不正确的轮胎气压,汽车超载..."
    还有要多久才能把轮胎送回店铺 - 大概还要半年时间.
    我的车是福特福克斯 - 前轮驱动,仅由我驾驶,主要的行驶路线是上下班.
    之前安装的轮胎是来自福特工厂的11年夏季固特异轮胎和9年冬季邓禄普轮胎,两者都没有过度磨损的问题.
    我没有运载重物,只有在前排座位上有一个乘客和在后备箱里有一个行李箱,我没有激进的驾驶风格,因为我已经58岁了,35年来一直定期检查轮胎气压.
    在恶劣的使用条件中,这里只有一个地方的温度会达到+40摄氏度,另外就是去上班的路上有两个环形路.
    大约一个月的使用时间后,我注意到轮胎的过度磨损,做了四轮定位和轮胎校正,结果显示一切正常.
    开始时,我以为如果换一下前后轮胎的位置,就可以使用两个季节,但是结果并不是这样.
    在仔细观察这些轮胎时,我发现侧壁和胎面内部是由橡胶制成的,
    但是胎面却是由某种粉末和胶水组成的,并且它的颜色不同,可以用刀子刮开和分离,
    而这种粉末很容易被刮掉,如果用刀子刮去,但是保修服务当然不会这样做.
    我选择了这款轮胎,因为我之前使用了9年的Nexen N8000在索兰托车型上,非常满意.
    而且在阅读了几篇关于Nexen N"Fera Primus V的评论后,但是那些评论都是更早之前写的,可能是由韩国制造的.
    我认为我不仅遇到了出厂缺陷,而且中国的工厂在生产Nexen轮胎时没有遵循生产技术.
    总之,我不推荐这家店铺和这款轮胎。

    车辆:
    Ford Focus
    是否会再次购买?:
    绝对不会
    干燥道路操控
    湿润道路操控
    直线行驶稳定性
    行驶舒适度
    行驶中的低噪音水平
    制动效能
    抗水漂能力
    速度特性
    耐磨性
    制造质量
    性价比

Nexen N'Fera Primus V отзывы и тесты

Сегодня в интернет-магазине Мосавтошины представлен широчайший ассортимент автомобильных шин. Зачастую такое многообразие не облегчает, а затрудняет выбор, т.к. в большинстве случаев покупателю приходится выбирать среди шин, отличающихся друг от друга лишь нюансами. Опубликованные на нашем сайте отзывы написаны самими покупателями. Большинство из них отличается объективностью и непредвзятостью, что позволяет сделать единственно правильный выбор.

Также следует отметить, что все отзывы содержат информацию, позволяющую сформировать собственное мнение о тех или иных особенностях той или иной шины. При этом очень часто указанные в отзывах недостатки могут быть отнесены к конкретным условиям эксплуатации. Поэтому важно ознакомиться по возможности с большим их количеством. Это даст возможность более объективно оценить эксплуатационные качества интересующих вас моделей.

Представленные на нашем сайте отзывы о Nexen N'Fera Primus V индивидуальны и по большей части объективны. Если их нет, то вы можете стать первым, кто напишет их, что крайне важно, поскольку это поможет множеству автовладельцев сделать единственно верный выбор, основываясь на вашем опыте. Однако их соответствие реальности очень сильно зависит от количества оставленных мнений. Поэтому, если вы уже стали обладателем этой модели шин – пожалуйста, оставьте отзыв о ней даже в том случае, когда к ней нет никаких претензий. Это действие не отнимет много времени, зато станет отличной помощью при выборе другим автовладельцам. Для этих целей на сайте имеется удобная форма.

В тех случаях, когда отзывов на ту или иную модель шин нет, вы всегда можете рассчитывать на помощь консультантов нашего магазина. В поисках качественных и надёжных шин, остановите свой выбор на интернет-магазине Мосавтошина, где вам будет предложен широчайший ассортимент от мировых производителей.