Bu siteyi kullanarak Gizlilik Politikası ve Kullanım Şartları'nı kabul etmiş olursunuz.
Kabul et
Elektrikli Araçlar DergisiElektrikli Araçlar DergisiElektrikli Araçlar Dergisi
  • Otomobil
    • İncelemeler
    • Menzil Testleri
    • Yeni Modeller
  • Mikromobilite
    • Motosiklet
    • Bisiklet
    • Scooter
  • Ticari & Toplu Taşıma
    • Kamyon
    • Otobüs
    • Traktör
    • Lojistik
    • Uçak
  • Şarj & Teknoloji
    • Batarya Teknolojisi
    • Şarj İstasyonları
    • Yazılım
  • Sektörel
    • Röportajlar
    • Fuarlar
    • Analizler
  • E-DergiYeni
  • News
Bildirimler
Yazı Tipi BoyutlandırıcıAa
Elektrikli Araçlar DergisiElektrikli Araçlar Dergisi
Yazı Tipi BoyutlandırıcıAa
  • Otomobil
  • Ticari & Toplu Taşıma
  • Mikromobilite
  • E-Dergi
Ara
  • Otomobil
    • İncelemeler
    • Menzil Testleri
    • Yeni Modeller
  • Mikromobilite
    • Motosiklet
    • Bisiklet
    • Scooter
  • Ticari & Toplu Taşıma
    • Kamyon
    • Otobüs
    • Traktör
    • Lojistik
    • Uçak
  • Şarj & Teknoloji
    • Batarya Teknolojisi
    • Şarj İstasyonları
    • Yazılım
  • Sektörel
    • Röportajlar
    • Fuarlar
    • Analizler
  • E-DergiYeni
  • News
Bizi takip edin
News

AI-controlled stations can charge electric cars at a personal price

6 Haziran 2024
Paylaş
Bu haberin okuma süresi 2 dakikadır.
PAYLAŞ

Today’s commercial charging infrastructure can be a jungle. The market is dynamic and complex with a variety of subscriptions and free competition between providers. At some fast charging stations, congestion and long queues may even occur. In a new study, researchers at Chalmers have created a mathematical model to investigate how fast charging stations controlled by artificial intelligence, AI, can help by offering electric car drivers personalised prices, which the drivers can choose to accept or refuse. The AI uses algorithms that can adjust prices based on individual factors, such as battery level and the car’s geographic location.

“The electric car drivers can choose to share information with the charging station providers and receive a personal price proposal from a smart charging station. In our study, we could show how rational and self-serving drivers react by only accepting offers that are beneficial to themselves. This leads to both price and waiting times being minimised”, says Balázs Kulcsár, Professor at the Department of Electrical Engineering at Chalmers.

In the study, the drivers always had the option to refuse the personal price, and choose a conventional charging station with a fixed price instead. The personal prices received by the drivers could differ significantly from each other, but were almost always lower than the market prices. For the providers of charging stations, the iterative AI algorithm can find out which individual prices are accepted by the buyer, and under which conditions. However, during the course of the study, the researchers noted that on some occasions the algorithm raised the price significantly when the electric car’s batteries were almost completely empty, and the driver consequently had no choice but to accept the offer.

“Smart charging stations can solve complex pricing in a competitive market, but our study shows that they need to be developed and introduced with privacy protection for consumers, well in line with responsible-ethical AI paradigms”, says Balázs Kulcsár.

Bu haberler ilginizi çekebilir

Stellantis Ends the First Half of 2026
Peugeot and Strate School of Design Joın Forces To Shape The Future of Mobılıty
How Opel is Radically Rethinking Charging Infrastructure and Electric Rallying
Bolt, Pony.ai and Stellantis to launch autonomous mobility testing program
Dodge Opens Orders For The Next Generatıon Charger In Europe
ETİKETLENDİ:electric carelectric carsnews
Bu Haberi Paylaşın
Facebook Bağlantıyı Kopyala Yazdır

Dergimiz Yayında

Okumak için Tıklayın
FacebookBeğen
InstagramTakip et
YouTubeAbone Ol
Türkiye’nin elektrikli ve hibrit araçlar platformu. Elektrikli Araçlar Dergisi, mikro mobiliteden elektrikli uçaklara kadar geniş bir yelpazede güncel içerik, e-dergi arşivi ve uzman görüşleri sunarak yeşil enerjili ulaşım dünyasına ışık tutmaktadır.
  • Künye
  • İletişim
  • Hakkımızda
  • Son Sayımız
  • Kullanım Şartları
  • Reklam
  • Abonelik
  • Dergi Arşivi
  • Fuar Takvimi
  • Gizlilik Politikası
Tekrar hoşgeldiniz!

Hesabınıza giriş yapın

Kullanıcı Adı veya E-posta Adresi
Şifre

Şifrenizi mi unuttunuz?