Admin-D1

Global Optimal Solution for Ride-Sharing with EV

Enhance the ride-sharing driver experience with electric vehicles through a comprehensive matching solution, optimizing everyone's time from trip allocation to charging.

Background

(小字做侧边栏with图片)The D1 initiative, a collaboration between Didi and BYD, aims to revolutionize the ride-sharing industry by introducing a fleet of purpose-built electric vehicles, catering to both B2C and B2B segments. Designing for both B2B and B2C stakeholders, each with their unique needs and expectations, poses a considerable challenge in striking a balance between operational efficiency and user experience. For riders and owner-drivers (B2C), it offers a driver-centric seat with nap mode and massage functions for long shifts, while transforming the passenger space with reclining seats, soothing ambient light, and a control center that lets passengers customize their journey. For driver-partners and fleet operators (B2B), the D1 provides a cost-effective and efficient solution, boasting an extended driving range, fast charging capabilities, and seamless integration with Didi's ride-hailing platform.

In this project, we introduce Didi D1, a complete solution for electric ride-sharing. This platform smoothly integrates intelligent range calculations, optimized batch matching, and charging station management, addressing challenges unique to full-time ride-sharing drivers using electric vehicles (EVs).

Our survey （调研链接） of ride-sharing platform drivers revealed that range anxiety is a major barrier for those considering leasing or buying an EV. The primary worry for these drivers is the system's accuracy in trip planning and dispatching orders in relation to the vehicle's battery range. Drivers often face situations where the system assigns them trips that exceed their current driving range, leading to anxiety and potential service disruptions. Another crucial issue is the availability and waiting time at charging stations. Full-time drivers often work long hours, usually ranging from 8 to 13 hours per day. As a result, time spent in queues at busy charging stations translates to a direct loss of potential earnings. Thus, efficiently locating and using charging stations is of paramount importance to these drivers.

The D1 platform resolves these issues by providing accurate range calculations based on real-time battery levels, driving conditions, and charging station availability. Consequently, full-time ride-sharing drivers can confidently accept trips, secure in the knowledge that the system has factored in their vehicle's range and charging needs. The platform intelligently plans routes that include necessary charging stops, ensuring that drivers can complete their assigned trips without depleting their battery. By optimizing the charging schedule and location selection, the D1 platform minimizes detours and charging time, enabling drivers to boost their productivity and earnings.

Driving Efficiency in EV Ride Sharing

Didi's dispatch system revolutionizes EV ride-sharing by seamlessly integrating vehicle, ride request, and traffic data to accurately predict battery levels for upcoming trips. This eliminates the need for drivers to manually search for charging stations and alleviates their anxiety about having sufficient range to complete ride requests. By continuously monitoring each vehicle's battery level and estimating the remaining range based on driving conditions, route elevation, and historical battery performance data, the system ensures that drivers are better prepared to meet passenger demands without the risk of mid-trip battery depletion, ultimately enhancing the reliability and efficiency of the service for both drivers and passengers.

Gif 1: 热力图 (Gif旁边小字)

We design heat maps that enhance operation efficiency and user experience. These maps show high-demand areas with color gradients, helping drivers identify potential hotspots. This feature allows route optimization, reducing idle time, and increasing passenger pickups. The map updates dynamically with real-time data, providing drivers with the latest demand information.

Gif 2/3:基于车辆电量的派单系统

Our system features intelligent batching and matching that optimizes trip assignments based on the driver's battery level and range. It calculates the driver's remaining mileage based on their current charge and refrains from sending ride requests exceeding this distance. The system also alerts drivers proactively when their battery level is low, indicating that it may affect the range of trip requests they can accept. This user-focused design ensures a smooth experience for drivers and riders, reducing the likelihood of trip cancellations due to insufficient vehicle range.

Battery in the Cloud

Didi has developed a comprehensive, modular portfolio of cloud-based services that enhance battery performance and longevity. This approach improves electric vehicle usage by ensuring batteries operate efficiently throughout their extended lifespan. For drivers, this means reduced downtime and increased earning potential. They can have confidence that their vehicle's battery is managed optimally, lowering the likelihood of unexpected breakdowns or charging problems. Fleet operators can continuously monitor battery health and performance. Through proactive maintenance based on battery data analysis, they can predict when maintenance is required. This allows scheduling during off-peak hours, minimizing vehicle downtime and preventing battery-related issues from affecting service.

How the connected battery solutions work?

Didi's D1 platform uses advanced algorithms to suggest optimal charging locations for rideshare drivers, taking into account charger availability, battery charging curves, and expected local ride demand. The system also calculates the battery's state of charge at the end of a trip when riders are dropped off, factoring in the current battery level, charge depletion rate, ambient temperature, speed, and route gradient. Additionally, it assists drivers in finding the best charging spots and effectively manages the charging network for the entire rideshare community.

Gif 4: Drop-off destination charging finding

The proactive feature optimizes driver experience and fleet management by notifying drivers of low battery levels upon ride completion and recommending the most suitable charging station based on cost, distance, and availability. The AI-driven system calculates these metrics to minimize driver downtime and efficiently distribute drivers across charging stations, optimizing overall fleet performance.

Why is smart rider-driver matching crucial in the era of electric vehicles?

We believe that ultimate efficiency leads to the ultimate user experience. The smart design of batch-matching systems aids the industry in accelerating the transition towards a better user experience in the robotaxi era. As battery technology improves, enabling longer driving ranges and faster charging times, advanced AI algorithms will efficiently match passengers with available vehicles, dynamically optimize vehicle routes, and schedule predictive maintenance. This ensures minimal wait times, reduced empty miles, and maximum fleet utilization. By leveraging vast amounts of data, AI models will continuously learn and adapt, delivering a seamless, on-demand transportation service that is both efficient and user-centric.

Intelligent EV Ride Sharing

Comprehensive Platform

• Real-time battery monitoring
• Intelligent trip planning
• Optimized charging station management

Dynamic Route Optimization

• Heat maps for high-demand areas
• Real-time data updates
• Reduced idle time

Cloud-Based Battery Management

• Continuous performance monitoring
• Proactive maintenance
• Extended battery lifespan

Enhancing Driver Experience

Accurate Range Predictions

• Advanced battery level algorithms
• Aligned trip assignments
• Reduced driver anxiety

Proactive Charging Recommendations

• Optimal charging locations
• Minimized downtime
• Improved fleet efficiency

Optimized Batch Matching

• AI-driven system
• Battery level consideration
• Smooth driver-passenger experience

Future-Ready Ride Sharing

AI-Powered Fleet Management

• Continuous route optimization
• Battery usage monitoring
• Predictive maintenance scheduling

Predictive Maintenance

• Cloud-based services
• Battery health data analysis
• Reduced breakdowns

Enhanced User Experience

• Comfort features for drivers and passengers
• Efficient ride-sharing service
• Customizable passenger spaces

Direction 1:

Enhance EV Ride Hailing Driver Experience:

• Integrates real-time battery monitoring, intelligent trip planning, and optimized charging to enhance driver efficiency and passenger satisfaction.

Battery in the Cloud

• Offers continuous performance monitoring and proactive maintenance to extend battery lifespan and ensure reliable service.

Future Ready Robotaxi

• Utilizes AI-powered fleet management to deliver an enhanced, efficient ride hailing experience.

1. An icon representing a car with a battery or a charging station.
2. Battery in the Cloud: An icon showing a battery with cloud elements.
3. Future Ready Robo Taxi: An icon depicting a futuristic car or a robot with a car.

Direction 2:

Dynamic Heat Maps

• Dynamic heat maps with real-time data to optimize routes, reduce idle time, and increase passenger pickups by highlighting high-demand areas.

Intelligent Trip Assignment

• Optimizes trip assignments based on battery levels, alerts drivers of low charge, and ensures smooth experiences by avoiding trips beyond the vehicle's range.

Connected Battery Solutions

• Cloud-based services and advanced algorithms optimize battery performance, suggest optimal charging locations

The D1 platform resolves these issues by providing accurate range calculations based on real-time battery levels, driving conditions, and charging station availability. Consequently, full-time ride-sharing drivers can confidently accept trips, secure in the knowledge that the system has factored in their vehicle's range and charging needs. The platform intelligently plans routes that include necessary charging stops, ensuring that drivers can complete their assigned trips without depleting their battery. By optimizing the charging schedule and location selection, the D1 platform minimizes detours and charging time, enabling drivers to boost their productivity and earnings.

design comparison with the old design(can be static images)